%{search_type} search results

• Preface
• Structural shear stress evaluation of triple periodic minimal surfaces, by H.A. Almeida, P.J. Bártolo
• On the numerical microstructural modeling of vascular tissues, by Estefania Peña
• What exists in the scientific literature about biomechanical models in pelvic floor?? A systematic review, by Renato Andrade, Rui Viana, Sara Viana, Thuane da Roza, Teresa Mascarenhas, Renato Natal Jorge
• The impairment of female pelvic ligaments and its relation to pelvic floor dysfunction: biomechanical analysis, by Sofia Brandão, Marco Parente, Ana Rita Silva, Thuane Da Roza, Teresa Mascarenhas, Isabel Ramos, Renato Natal Jorge
• Pelvic floor muscles behavior in practitioners of high and low impact sports, by Thuane Da Roza, Sofia Brandão, Teresa Mascarenhas, José Alberto Duarte, Renato Natal Jorge
• Effects of a pelvic floor muscle training in nulliparous athletes with urinary incontinence: biomechanical models protocol, by M Sousa, R Viana, S Viana, T Da Roza, R Azevedo, M Araújo, C Festas, T Mascarenhas, R Natal Jorge
• Biomechanical study of the cervical spine, by Tatiana Teixeira, Luísa Costa Sousa, Renato Natal Jorge, Marco Parente, João Maia Gonçalves, Rolando Freitas
• Injury simulation of anterior cruciate ligament using isogeometric analysis, by J.P.S. Ferreira, M.P.L. Parente, R.M. Natal Jorge
• Influence of flexing load position on the loading of cruciate ligaments at the knee? A graphics-based analysis, by A. Imran
• Modelling and simulation in orthopedic biomechanics? applications and limitations, by A. Imran
• One-dimensional modelling of the coronary circulation. Application to noninvasive quantification of fractional flow reserve (FFR), by Etienne Boileau, Perumal Nithiarasu
• Prediction of carotid hemodynamic descriptors based on ultrasound data and a neural network model, by Catarina F. Castro, Carlos Conceição António, Luísa Costa Sousa
• Computer image registration techniques applied to nuclear medicine image, by Raquel S. Alves, João Manuel R.S. Tavares
• Segmentation and 3D Reconstruction of Animal Tissues in Histological Images, by Liliana Azevedo, Augusto M.R. Faustino, João Manuel R.S. Tavares
• Ischemic region segmentation in rat heart photos using DRLSE algorithm, by Regina C. Coelho, Salety F. Baracho, Vinícius V. de Melo, Carlos Marcelo G. de Godoy
• Pectoral and breast segmentation technique based on texture information, by Khamsa Djaroudib, Pascal Lorenz, Abdelmalik Taleb Ahmed, Abdelmadjid Zidani
• Statistical and physical micro-feature-based segmentation of cortical bone images using artificial intelligence, by Ilige S. Hage, Ramsey F. Hamade
• Human motion segmentation using active shape models, by Maria João M. Vasconcelos, João Manuel R.S. Tavares
• 3D Vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production, by Sandra R. Ventura, Diamantino R. Freitas, Isabel M. Ramos, João Manuel R.S. Tavares.

This book contains the full papers presented at ICCEBS 2013? the 1st International Conference on Computational and Experimental Biomedical Sciences, which was organized in Azores, in October 2013. The included papers present and discuss new trends in those fields, using several methods and techniques, including active shape models, constitutive models, isogeometric elements, genetic algorithms, level sets, material models, neural networks, optimization, and the finite element method, in order to address more efficiently different and timely applications involving biofluids, computer simulation, computational biomechanics, image based diagnosis, image processing and analysis, image segmentation, image registration, scaffolds, simulation, and surgical planning. The main audience for this book consists of researchers, Ph. D students, and graduate students with multidisciplinary interests related to the areas of artificial intelligence, bioengineering, biology, biomechanics, computational fluid dynamics, computational mechanics, computational vision, histology, human motion, imagiology, applied mathematics, medical image, medicine, orthopaedics, rehabilitation, speech production, and tissue engineering.

• A Review of Automated Techniques for Cervical Cell Image Analysis and Classification / Marina E. Plissiti and Christophoros Nikou
• Modeling of Trabecular Architecture as Result of an Optimal Control Procedure / Ugo Andreaus, Michele Colloca and Daniela Iacoviello
• The Kinematics of the Hip Joint with Femoroacetabular Impingement May Be Affected by the Thickness of the Articular Cartilage / Radhakrishna Suppanee, Prudence Wong, Ibrahim Esat, Mahmoud Chizari and Karthig Rajakulendran, et al.
• Image Based Model Development and Analysis of the Human Knee Joint / Dennis John, Dinesh Pinisetty and Nikhil Gupta
• Hip Prostheses Computational Modeling: FEM Simulations Integrated with Fatigue Mechanical Tests / Ilaria Campioni, Gianluca Notarangelo, Ugo Andreaus, Angelo Ventura and Claudia Giacomozzi
• Patient-Specific Modelling in Orthopedics: From Image to Surgery / G.T. Gomes, S. Van Cauter, M. De Beule, L. Vigneron and C. Pattyn, et al.
• Micro-scale Analysis of Compositional and Mechanical Properties of Dentin Using Homotopic Measurements / Anil Misra, Orestes Marangos, Ranganathan Parthasarathy and Paulette Spencer
• Microtomography and Its Application in Oral and Implant Research / Rossella Bedini, Deborah Meleo and Raffaella Pecci
• Biomedical Imaging and Computational Modeling in Cardiovascular Disease: Patient-Specific Applications Using Numerical Models / Vanessa Díaz-Zuccarini and Silvia Schievano
• Numerical Simulation of Viscous Flow Around Kayak: A Comparison of Different Design Models / Daniel A. Marinho, Vishveshwar R. Mantha, Abel I. Rouboa and António J. Silva.

This book collects the state-of-art and new trends in image analysis and biomechanics. It covers a wide field of scientific and cultural topics, ranging from remodeling of bone tissue under the mechanical stimulus up to optimizing the performance of sports equipment, through the patient-specific modeling in orthopedics, microtomography and its application in oral and implant research, computational modeling in the field of hip prostheses, image based model development and analysis of the human knee joint, kinematics of the hip joint, micro-scale analysis of compositional and mechanical properties of dentin, automated techniques for cervical cell image analysis, and biomedical imaging and computational modeling in cardiovascular disease. The book will be of interest to researchers, Ph.D students, and graduate students with multidisciplinary interests related to image analysis and understanding, medical imaging, biomechanics, simulation and modeling, experimental analysis.
(source: Nielsen Book Data)

• Preface.- 1 Automated Color Misalignment Correction for Close-Range and Long-Range Hyper-Resolution Multi-Line CCD Images, by Zhiyu Chen, Andreas Koschan, Chung-Hao Chen, and Mongi Abidi.- 2 Adaptive Demosaicing Algorithm Using Characteristics of the Color Filter Array Pattern, by Ji Won Lee and Rae-Hong Park.- 3 A Taxonomy of Color Constancy and Invariance Algorithm, by Dohyoung Lee and Konstantinos N. Plataniotis.- 4 On the von Kries Model: Estimate, Dependence on Light and Device, and Applications, by Michela Lecca.- 5 Impulse and mixed multi-channel denoising using statistical halfspace depth functions, by Djordje Baljozovic, Aleksandra Baljozovic, Branko Kovacevic.- 6 Spatially Adaptive Color Image Processing, by Johan Debayle and Jean-Charles Pinoli.- 7 Vector ordering and multispectral morphological image processing, by Santiago Velasco-Forero and Jesus Angulo.- 8 Morphological Template Matching in Color Images, by Sebastien Lefevre, Erhan Aptoula, Benjamin Perret, and Jonathan Weber.- 9 Tensor Voting for Robust Color Edge Detection, by Rodrigo Moreno, Miguel Angel Garcia, and Domenec Puig.- 10 Color Categorization Models for Color Image Segmentation, by Teresa Alarcon, Oscar Dalmau.- 11 Skin region detection and segmentation in color images, by Michal Kawulok, Jakub Nalepa and Jolanta Kawulok.- 12 Contribution of skin color cue in face detection applications, by Dohyoung Lee, Jeaff Wang, and Konstantinos N. Plataniotis.- 13 Color Saliency Evaluation for Video Game Design, by Richard M. Jiang, Ahmed Bouridane, and Abbes Amira.
• (source: Nielsen Book Data)

Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, visual quality inspection, among many others. As a result, automated processing and analysis of color images has become an active area of research, to which the large number of publications of the past two decades bears witness. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for single channel images are often not directly applicable to multichannel ones. The goal of this volume is to summarize the state-of-the-art in the early stages of the color image processing pipeline.
(source: Nielsen Book Data)

• Retinal Vessel Segmentation in Fundus Image using Low-Cost Multiple U-Net Architecture.- Imaging Radiomic-Driven Framework for Automated Cancer Investigation.- Computational image analysis of painful and pain free intervertebral disc.- Bio-medical image encryption using the modified chaotic image encryption method.- Stability of Feature Selection Algorithms.- A Database Application of Monitoring Covid-19 in India.- Walking Assistant for Vision Impaired by Using Deep Learning.- Detection of Coronavirus in Electron Microscope Imagery using Convolutional Neural Networks.- IoT & RFID based Smart Card System Integrated with Healthcare, Electricity, QR and Banking Sectors.- Face Mask Recognition Using Modular, Wavelet and Modular-Wavelet PCA.- Effective Overview of Different ML Models used for Prediction of COVID -19 Patients.- Hybrid CNN-SVM Model for Face Mask Detector to Protect from COVID -19.- A Study on Various Medical Imaging Modalities and image fusion methods.- A Deep Learning Technique For Bi-fold Grading of an Eye Disorder DR-Diabetic Retinopathy.- Brain Tumor Detection Using Fine Tuned YOLO Model with Transfer Learning.
• (source: Nielsen Book Data)

This book includes high-quality papers presented at the Second International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration with Department of Pathology, SMIMS, Sikkim, India, and funded by Indian Council of Medical Research, during 11 - 12 November 2021. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.
(source: Nielsen Book Data)

• Chapter 1. Bioinspired Approach to Inverse Kinematic Problem
• Chapter 2. Assessment of Two Musculoskeletal Models in Children with Crouch Gait
• Chapter 3. Low-Complexity Classi cation Algorithm to Identify Drivers' Stress using Electrodermal Activity (EDA) Measurements
• Chapter 4. 3D Model of Blood Flow for Magnetohydrodynamics Study
• Chapter 5. Nonlinear Autoregressive Model Design and Optimization based on ANN for the Prediction of Chaotic Patterns in EEG Time Series
• Chapter 6. Using a coupled MDOF biodynamic model to study the effect of curvature of spine on lumbar spine compression under axial loads
• Chapter 7. Applied logics to develop ontology model of complex-structured domains: organic chemistry and biochemistry
• Chapter 8. Analysis of HD-sEMG signals using Channel Clustering Based on Time Domain Features For Functional Assessment with Ageing
• Chapter 9. Effect of reduced point NIR spectroscopy on glucose prediction error in human blood tissue
• Chapter 10. Data augmentation for Signature Images in On-line Verification Systems.

This book reports on timely research at the interface between biomedical engineering and intelligence technologies applied to biology and healthcare. It covers cutting-edge methods applied to biomechanics and robotics, EEG time series analysis, blood glucose prediction models, among others. It includes ten chapters, which were selected upon a rigorous peer-review process and presented at the 1st World Thematic Conference - Biomedical Engineering and Computational Intelligence, BIOCOM 2018, held in London, United Kingdom, during October 30-31, 2018.

• Part I: Biological Characterization of Bone Tissue.-
• Chapter 1. Bone: functions, structure and physiology.-
• Chapter 2. Bone Quality Assessment at the Atomic Scale.- Part II: Bone Remodelling algorithms.-
• Chapter 3. Meshless, Bone Remodelling and Bone Regeneration Modelling.-
• Chapter 4. Dynamic biochemical and cellular models of bone physiology: integrating remodeling processes, tumor growth and therapy.-
• Chapter 5. Mathematical Modelling of Spatio-Temporal cell dynamics observed during Bone Remodelling.-
• Chapter 6. A Mechanostatistical Approach to Multiscale Computational Bone Remodelling.- Part III: Numerical simulation of bone tissue and adjacent structures.-
• Chapter 7. Finite Element Analysis of Bone and Experimental Validation.-
• Chapter 8. Computational modelling of tissue engineered cartilage constructs.-
• Chapter 9. On the Computational Biomechanics of the Intervertebral Disc.- Index.
• (source: Nielsen Book Data)

This book offers a timely snapshot of computational methods applied to the study of bone tissue. The bone, a living tissue undergoing constant changes, responds to chemical and mechanical stimuli in order to maximize its mechanical performance. Merging perspectives from the biomedical and the engineering science fields, the book offers some insights into the overall behavior of this complex biological tissue. It covers three main areas: biological characterization of bone tissue, bone remodeling algorithms, and numerical simulation of bone tissue and adjacent structures. Written by clinicians and researchers, and including both review chapters and original research, the book offers an overview of the state-of-the-art in computational mechanics of bone tissue, as well as a good balance of biological and engineering methods for bone tissue analysis. An up-to-date resource for mechanical and biomedical engineers seeking new ideas, it also promotes interdisciplinary collaborations to advance research in the field.
(source: Nielsen Book Data)

• Colonic Polyp Identification Using Pareto Depth Anomaly Detection Algorithm
• Comparative Study of Dermoscopic Hair Removal Methods
• Lower Limb Joint Angle Coordination Assessment at Sagittal Plane on Human Vertical Countermovement
• Biometric Identification Based on Forearm Vein Pattern
• Cross Recurrence Quantitative Analysis of Functional Magnetic Resonance Imaging
• Automatic Segmentation and Delineation of Intervertebral Discs on Lumbar Spine MR Images
• A Hybrid Approach For Breast Mass Categorization
• Skin Disease Diagnosis from Photographs Using Deep Learning
• Prediction of the Childs Head Growth in the First Year of Life
• Influence of Mutual Rotation of Polarizing Filters on Light Intensity Measured With Collagen Fibres
• Automatic Extraction of Marbling Measures Using Image Analysis, for Evaluation of Beef Quality
• Layer Thickness Evaluation Between Medical Imaging and Additive Manufacturing.

This book gathers full papers presented at the VipIMAGE 2019--VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing--held on October 16-18, 2019, in Porto, Portugal. It discusses cutting-edge methods, findings, and applications related to 3D vision, bio- and medical imaging, computer-aided diagnosis, image enhancement, image processing and analysis, virtual reality, and also describes in detail advanced image analysis techniques, such as image segmentation and feature selection, as well as statistical and geometrical modeling. The book provides both researchers and professionals with extensive and timely insights into advanced imaging techniques for various application purposes.

• Introduction
• Development of Microsystems Multi Physics Investigation Methods
• MEMS applications for obesity prevention
• MOEMS-assisted radial pulse measurement system development
• Microsystems for the Effective Technological Processes.

This book presents the most important aspects of analysis of dynamical processes taking place on the human body surface. It provides an overview of the major devices that act as a prevention measure to boost a person's motivation for physical activity. A short overview of the most popular MEMS sensors for biomedical applications is given. The development and validation of a multi-level computational model that combines mathematical models of an accelerometer and reduced human body surface tissue is presented. Subsequently, results of finite element analysis are used together with experimental data to evaluate rheological properties of not only human skin but skeletal joints as well. Methodology of development of MOEMS displacement-pressure sensor and adaptation for real-time biological information monitoring, namely "ex vivo" and "in vitro" blood pulse type analysis, is described. Fundamental and conciliatory investigations, achieved knowledge and scientific experience about biologically adaptive multifunctional nanocomposite materials, their properties and synthesis compatibility, periodical microstructures, which may be used in various optical components for modern, productive sensors' formation technologies and their application in medicine, pharmacy industries and environmental monitoring, are presented and analyzed. This book also is aimed at research and development of vibrational energy harvester, which would convert ambient kinetic energy into electrical energy by means of the impact-type piezoelectric transducer. The book proposes possible prototypes of devices for non-invasive real-time artery pulse measurements and micro energy harvesting.
(source: Nielsen Book Data)

• Preface.- Statistical Shape Modeling of Musculoskeletal Structures and Its Applications, by Hans Lamecker, Stefan Zachow.- Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets, by Xiao Dong and Guoyan Zheng.- Registration for Orthopaedic Interventions, by Ziv Yaniv.- 3D Augmented Reality Based Orthopaedic Interventions, by Xinran Zhang, Zhencheng Fan, Junchen Wang and Hongen Liao.- Fully Automatic Segmentation of Hip CT Images, by Chengwen Chu, Junjie Bai, Xiaodong Wu, and Guoyan Zheng.- Quantification of Implant Osseointegration by means of a Reconstruction Algorithm on Micro-computed Tomography Images, by R. Bieck, C. Zietz, C. Gabler, R. Bader.- Surgical Treatment of Long-bone Deformities: 3D Preoperative Planning and Patient-specific Instrumentation, by Philipp Furnstahl, Andreas Schweizer, Matthias Graf, Lazaros Vlachopoulos, Sandro Fucentese, Stephan Wirth, Ladislav Nagy, Gabor Szekely, Orcun Goksel.- Preoperative Planning of Periacetabular Osteotomy (PAO) by Timo M. Ecker, Li Liu, Guoyan Zheng, Christoph E. Albers, Klaus A. Siebenrock.- Computer Assisted Diagnosis and Treatment Planning of Femoroacetabular Impingement (FAI), by Christoph E. Albers, Markus S. Hanke, Timo M. Ecker, Pascal C. Haefeli, Klaus A. Siebenrock, Simon D. Steppacher, Corinne A. Zurmuhle, Joseph M. Schwab and Moritz Tannast.- 2D-3D Reconstruction-based Planning of Total Hip Arthroplasty, by Guoyan Zheng, Steffen Schumann, Steven Balestra, Benedikt Thelen, Lutz-P. Nolte.- Image Fusion for Computer-assisted Bone Tumor Surgery, by Kwok Chuen Wong.- Intraoperative Three-Dimensional Imaging in Fracture Treatment with a Mobile C-Arm, by Jochen Franke, Nils Beisemann.- Augmented Reality in Orthopaedic Interventions and Education, by Pascal Fallavollita, Lejing Wang, Simon Weidert, Nassir Navab.- State of the art of ultrasound based registration in computer assisted orthopedic interventions, by Steffen Schumann.- Medical Robotics for Musculoskeletal Surgery, by Sanghyun Joung, Ilhyung Park.- A Cost-effective Surgical Navigation Solution for Periacetabular Osteotomy (PAO) Surgery, by Silvio Pflugi, Li Liu, Timo M. Ecker, Jennifer Cullmann-Bastian, Klaus Siebenrock, Guoyan Zheng.- Computer Assisted Hip Resurfacing Using Patient-Specific Instrument Guides, by Manuela Kunz, John F Rudan.
• (source: Nielsen Book Data)

This book provides a cohesive overview of the current technological advances in computational radiology, and their applications in orthopaedic interventions. Contributed by the leading researchers in the field, this volume covers not only basic computational radiology techniques such as statistical shape modeling, CT/MRI segmentation, augmented reality and micro-CT image processing, but also the applications of these techniques to various orthopaedic interventional tasks. Details about following important state-of-the-art development are featured: 3D preoperative planning and patient-specific instrumentation for surgical treatment of long-bone deformities, computer assisted diagnosis and planning of periacetabular osteotomy and femoroacetabular impingement, 2D-3D reconstruction-based planning of total hip arthroplasty, image fusion for computer-assisted bone tumor surgery, intra-operative three-dimensional imaging in fracture treatment, augmented reality based orthopaedic interventions and education, medical robotics for musculoskeletal surgery, inertial sensor-based cost-effective surgical navigation, and computer assisted hip resurfacing using patient-specific instrument guides. Edited and authored by leading researchers in the field, this work is an essential reference for biomedical engineers, computer scientists and orthopaedic surgeons to develop or use computational radiology approaches for orthopaedic surgery and interventions.
(source: Nielsen Book Data)

• Part 1
• Computational Methods
• A Review of Computational Methods for Molecular Imaging, by Fei Gao, Pengcheng Shi
• Fuzzy Connectedness Image Co-Segmentation for Hybrid PET/MRI and PET/CT Scans, by Ziyue Xu, Ulas Bagci, Jayaram Udupa, Daniel Mollura
• PET/MRI/VCT: Restoration of Virtual CT from Transmission Scan on PET/MRI using Joint-Anisotropic Diffusion, by Kuangyu Shi, Xiaoyin Cheng, Nassir Navab, Stefan Foerster, Sibylle I. Ziegler
• Large Scale Simplex Optimisation to Accelerate Kinetic Analysis, by Nicholas Dowson, Paul Thomas, Jye Smith, Olivier Salvado, Stephen Rose
• Gradient Projection for Regularized Cryo-Electron Tomographic Reconstruction, by Shadi Albarqouni, Tobias Lasser, Weaam Alkhaldi, Ashraf Al-Amoudi, Nassir Navab
• Joint direct motion estimation/kinetic images reconstruction from gated PET data, by Alexandre Bousse, Jieqing Jiao, Kris Thielemans, Sebastien Ourselin, David Atkinson, Brian Hutton
• Effect of the Mouth Motion in the Attenuation Correction in Neurological PET Studies, by Joaquin Herraiz, Angel Torrado-Carvajal, Norberto Malpica, Juan Hernandez-Tamames
• Dual Estimation of Activity Maps and Kinetic Parameters for Dynamic PET Imaging, by Jingjia Xu, Huafeng Liu, Pengcheng Shi, Fei Gao
• Time-Activity Curve based Sinogram Decomposition for Streak Artifacts Reduction in Dynamic PET Reconstruction, by Xiaoyin Cheng, Jun Liu, Jakob Vogel, Zhen Liu, Nassir Navab, Sibylle Ziegler, Kuangyu Shi
• Part 2
• Clinical Applications
• 4-D PET-MR with Volumetric Navigators and Compressed Sensing, by Stefano Pedemonte, Ciprian Catana, Koen Van Leemput
• Robust Feature Selection to Predict Lung Tumor Recurrence Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan
• Region-based Data-driven Intensity Normalization for Group Comparison of Functional Brain Images, by Zhiyong Xie, Aijun Zhu, Laigao Chen, Timothy McCarthy
• A reaction-diffusion simulation model of 18F-FDG PET imaging for the quantitative interpretation of cancerous metabolism, by Qian Wang, Zhen Liu, Sibylle I. Ziegler, Kuangyu Shi
• Generation of MR-based Attenuation Correction Map of PET Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue from Single Short-TE MR Imaging Modality, by Anahita Fathi Kazerooni, Mohammad Hadi A'arabi, Hamidreza Saligheh Rad
• Query by Image of Brain SPECT Database, by David Wack, Feyza Erenler, Robert Miletich
• Age-related Glucose Metabolism Changes in Brain, by Xiaoyan Shen, Zhiliang Liu, Zhenghui Hu, Huafeng Liu
• Investigation of Single- Versus Joint-Modality PET-MR Registration for 18F-Florbetapir Quantification: Application to Alzheimer's Disease, by Liam Cattell, Julia Schnabel, Jerome Declerck, Chloe Hutton.

This volume contains original submissions on the development and application of molecular imaging computing. The editors invited authors to submit high-quality contributions on a wide range of topics including, but not limited to: ℓ́Ø Image Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and other Molecular Imaging Modalities ℓ́Ø Molecular Imaging Enhancement ℓ́Ø Data Analysis of Clinical & Pre-clinical Molecular Imaging ℓ́Ø Multi-Modal Image Processing (PET/CT, PET/MR, SPECT/CT, etc.) ℓ́Ø Machine Learning and Data Mining in Molecular Imaging. Molecular imaging is an evolving clinical and research discipline enabling the visualization, characterization and quantification of biological processes taking place at the cellular and subcellular levels within intact living subjects. Computational methods play an important role in the development of molecular imaging, from image synthesis to data analysis and from clinical diagnosis to therapy individualization. This work will bring readers from academia and industry up to date on the most recent developments in this field.

• Preface
• On the evaluation of automated MRI brain segmentations: technical and conceptual tools, by Elisabetta Binaghi, Valentina Pedoia, Desiree Lattanzi, Emanuele Monti, Sergio Balbi, Renzo Minotto
• Analysis of the retinal nerve fiber layer texture related to the thickness measured by optical coherence tomography, by J. Odstrcilik, R. Kolar, R.P. Tornow, A. Budai, J. Jan, P. Mackova, M. Vodakova
• Continuum mechanics meets echocardiographic imaging: investigation on the principal strain lines in human left ventricle, by A. Evangelista, S. Gabriele, P. Nardinocchi, P. Piras, P.E. Puddu, L. Teresi, C. Torromeo, V. Varano
• A GPU accelerated algorithm for blood detection in wireless capsule endoscopy images, by Sunil Kumar, Isabel N. Figueiredo, Carlos Graça, Gabriel Falcão
• Automated image mining in fMRI Reports: a meta-research study, by N. Gonçalves, G. Vranou, R. Vigário
• Visual pattern recognition framework based on the best rank tensor decomposition, by B. Cyganek
• Tracking red blood cells flowing through a microchannel with a hyperbolic contraction: an automatic method, by B. Taboada, F.C. Monteiro, R. Lima
• A 3D computed tomography based tool for orthopedic surgery planning, by João Ribeiro, Victor Alves, Sara Silva, Jaime Campos
• Preoperative planning of surgical treatment with the use of 3D visualization and finite element method, by Wolański Wojciech, Gzik-Zroska Bożena, Kawlewska Edyta, Gzik Marek, Dzielicki Józef, Larysz Dawid, Rudnik Adam
• Pretreatment and reconstruction of three-dimensional images applied in a locking reconstruction plate for a structural analysis with FEA, by João Paulo O. Freitas, Edson A. Capello de Sousa, Cesar R. Foschini, Rogerio R. Santos, Sheila C. Rahal
• Tortuosity influence on the trabecular bone elasticity and mechanical competence, by Waldir Leite Roque, Angel Alberich-Bayarri
• Influence of beam hardening artifact in bone interface contact evaluation by 3D X-ray microtomography, by I. Lima, M. Marquezan, M.M.G. Souza, E.F. Sant'Anna, R.T. Lopes
• Anisotropy estimation of trabecular bone in gray-scale: comparison between cone beam and micro computed tomography data, by Rodrigo Moreno, Magnus Borga, Eva Klintström, Torkel Brismar, Örjan Smedby
• Fractured bone identification from CT images, fragment separation and fracture zone detection, by Félix Paulano, Juan J. Jiménez, Rubén Pulido
• On evolutionary integral models for image restoration, by E. Cuesta, A. Durán, M. Kirane
• Colour image quantisation using KM and KHM clustering techniques with outlier-based initialization, by Henryk Palus, Mariusz Frackiewicz
• A study of a firefly meta-heuristics for multithreshold image segmentation, by H. Erdmann, G. Wachs-Lopes, C. Gallão, M.P. Ribeiro, P.S. Rodrigues
• Visual-inertial 2D feature tracking based on an affine photometric model, by Dominik Aufderheide, Gerard Edwards and Werner Krybus
• Inferring heading direction from silhouettes, by Amina Bensebaa, Slimane Larabi, Neil M. Robertson
• A fast and accurate algorithm for detecting and tracking moving hand gestures, by Walter C.S.S. Simões, Ricardo da S. Barboza, Vicente F. de Lucena Jr., Rafael D. Lins
• Hand gesture recognition system based in computer vision and machine learning, by Paulo Trigueiros, Fernando Ribeiro, Luís Paulo Reis
• 3D Scanning using RGBD imaging devices: a survey, by Eduardo E. Hitomi, Jorge V.L. Silva, Guilherme C.S. Ruppert.

This book presents novel and advanced topics in Medical Image Processing and Computational Vision in order to solidify knowledge in the related fields and define their key stakeholders. It contains extended versions of selected papers presented in VipIMAGE 2013? IV International ECCOMAS Thematic Conference on Computational Vision and Medical Image, which took place in Funchal, Madeira, Portugal, 14-16 October 2013. The twenty-two chapters were written by invited experts of international recognition and address important issues in medical image processing and computational vision, including: 3D vision, 3D visualization, colour quantisation, continuum mechanics, data fusion, data mining, face recognition, GPU parallelisation, image acquisition and reconstruction, image and video analysis, image clustering, image registration, image restoring, image segmentation, machine learning, modelling and simulation, object detection, object recognition, object tracking, optical flow, pattern recognition, pose estimation, and texture analysis. Different applications are addressed and described throughout the book, comprising: biomechanical studies, bio-structure modelling and simulation, bone characterization, cell tracking, computer-aided diagnosis, dental imaging, face recognition, hand gestures detection and recognition, human motion analysis, human-computer interaction, image and video understanding, image processing, image segmentation, object and scene reconstruction, object recognition and tracking, remote robot control, and surgery planning. This volume is of use to researchers, students, practitioners and manufacturers from several multidisciplinary fields, such as artificial intelligence, bioengineering, biology, biomechanics, computational mechanics, computational vision, computer graphics, computer science, computer vision, human motion, imagiology, machine learning, machine vision, mathematics, medical image, medicine, pattern recognition, and physics.

• Preface.- Workshop Organization.- Computer Aided Diagnosis and Intervention.- Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications, by Holger Roth, Jianhua Yao, Le, James Stieger, Joseph Burns, Ronald Summers.- Stacked auto-encoders for classification of 3D spine models in adolescent idiopathic scoliosis, by William Thong, Hubert Labelle, Jesse Shen, Stefan Parent, Samuel Kadoury.- An Active Optical Flow Model for Dose Prediction in Spinal SBRT Plans, by Jianfei Liu, Jackie Wu, FangFang Yin, John Kirkpatrick, Alvin Cabrera, Yaorong Ge.- Portable optically tracked ultrasound system for scoliosis measurement, by Guillermo Carbajal, Alvaro Gomez, Gabor Fichtinger, Tamas Ungi.- Spine Segmentation.- Atlas-Based Registration for Accurate Segmentation of Thoracic and Lumbar Vertebrae in CT Data, by Daniel Forsberg.- Segmentation of Lumbar Vertebrae Slices from CT Images, by Hugo Hutt, Richard Everson, Judith Meakin.- Interpolation-Based Detection of Lumbar Vertebrae in CT Spine Images, by Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- An Improved Shape-Constrained Deformable Model for Segmentation of Vertebrae from CT Lumbar Spine Images, by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- Detailed Vertebral Segmentation using Part-Based Decomposition and Conditional Shape Models, by Marco Pereanez, Karim Lekadir, Corne Hoogendoorn, Isaac Castro Mateos, Alejandro Frangi.- MR Image Processing.- Automatic Segmentation of the Spinal Cord using Continuous Max Flow with Cross-sectional Similarity Prior and Tubularity Features, by Simon Pezold, Ketut Fundana, Michael Amann, Michaela Andelova, Armanda Pfister, Till Sprenger, Philippe Cattin.- Automated Radiological Measurement of Spinal MRI, by Meelis Lootus, Timor Kadir, Andrew Zisserman.- Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Images, by Xiao Dong, Guoyan Zheng.- Minimally Supervised Segmentation and Meshing of 3D Intervertebral Discs of the Lumbar Spine for Discectomy Simulation, by Rabia Haq, Rifat Aras, Roderick Borgie, David Besachio, Michel Audette.- Localization.- Localisation of Vertebrae on DXA Images using Constrained Local Models with Random Forest Regression Voting, by Paul Bromiley, Judith Adams, Tim Cootes.- Bone Profiles: Simple, Fast, and Reliable Spine Localization in CT Scans, by Jiri Hladuvka, David Major, Katja Buhler.- Modeling.- Area- and Angle-preserving Parametrization for Vertebra Surface Mesh, by Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazame.- Contour models for descriptive patient-specific neuro-anatomical modeling: towards a digital brainstem atlas, by Nirmal Patel, Sharmin Sultana, Michel Audette.- Segmentation Challenge.- Atlas-Based Segmentation of the Thoracic and Lumbar Vertebrae, by Daniel Forsberg.- Lumbar and thoracic spine segmentation using a statistical multi-object shape+pose model, by Alexander Seitel, Abtin Rasoulian, Robert Rohling, Purang Abolmaesumi.- Vertebrae Segmentation in 3D CT Images based on a Variational Framework, by Kerstin Hammernik, Thomas Ebner, Darko Stern, Martin Urschler, Thomas Pock.- Interpolation-Based Shape-Constrained Deformable Model Approach for Segmentation of Vertebrae from CT Spine Images, by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo, Tomaz Vrtovec.- 3D Vertebra segmentation by feature selection Active Shape Model, by Isaac Castro Mateos, Jose Pozo Soler, Alejandro Frangi.- Report of Vertebra Segmentation Challenge in 2014 MICCAI Workshop on Computational Spine Imaging, by Jianhua Yao, Shuo Li.
• (source: Nielsen Book Data)

This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis. The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.
(source: Nielsen Book Data)

• A novel colon wall flattening model for computed tomographic colonography : method and validation / Huafeng Wang, Lihong Li, Hao Han, Yunhong Wang, Weifeng Lv, Xianfeng Gu and Zhengrong Liang
• Biomechanical simulation of lung deformation from one CT scan / Feng Li and Fatih Porikli
• 2D-3D registration : a step towards image-guided ankle fusion / Ahmed Shalaby, Aly Farag, Eslam Mostafa and Todd Hockenbury
• A graph-based methodology for volumetric left ventricle segmentation / S.P. Dakua, J. Abi Nahed and A. Al-Ansari
• Minimally interactive MRI segmentation for subject-specific modelling of the tongue / Negar M. Harandi, Rafeef Abugharbieh and Sidney Fels
• Real-time and accurate endoscope electromagnetic tracking via marker-free registration based on endoscope tip center / Xiongbiao Luo and Kensaku Mori
• Evaluation of image guided robot assisted surgical training for patient specific laparoscopic surgery / Tao Yang, Kyaw Kyar Toe, Chin Boon Chng, Weimin Huang, Chee Kong Chui, Jiang Liu and Stephan K.Y. Chang
• Proxemics measurement during social anxiety disorder therapy using a RGBD sensors network / Julien Leroy, Francois Rocca and Bernard Gosselin
• How do sex, age, and osteoarthritis affect cartilage thickness at the thumb carpometacarpal joint? Insights from subject-specific cartilage modeling / Eni Halilaj, David H. Laidlaw, Douglas C. Moore and Joseph J. Crisco
• Patient specific modeling of pectus excavatum for the nuss procedure simulation / Krzysztof J. Rechowicz, Mohammad F. Obeid and Frederic D. McKenzie
• Formulating a pedicle screw fastening strength surrogate via patient-specific virtual templating and planning / Cristian A. Linte, Jon J. Camp, Kurt Augustine, Paul M. Huddleston, Anthony A. Stans, David R. Holmes III and Richard A. Robb.

This book contains papers presented at the MICCAI 2013 Workshop Bio-Imaging and Visualization for Patient-Customized Simulations (MWBIVPCS 2013). The conference brought together researchers representing several fields, such as Biomechanics, Engineering, Medicine, Mathematics, Physics and Statistics.

• Preface.- Workshop Organization.- Segmentation I (CT): Segmentation of vertebrae from 3D spine images by applying concepts from transportation and game theories, by Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- Automatic and Reliable Segmentation of Spinal Canals in Low-Resolution, Low-Contrast CT Images, by Qian Wang, Le Lu, Diji Wu, Noha El-Zehiry, Dinggang Shen, Kevin Zhou.- A Robust Segmentation Framework for Spine Trauma Diagnosis, by Poay Hoon Lim, Ulas Bagci, Li Bai.- 2D-PCA based Tensor Level Set Framework for Vertebral Body Segmentation, by Ahmed Shalaby, Aly Farag, Melih Aslan.- Computer Aided Detection and Diagnosis: Computer Aided Detection of Spinal Degenerative Osteophytes on Sodium Fluoride PET/CT, by Jianhua Yao, Hector Munoz , Joseph Burns, Le Lu , Ronald Summers.- Novel Morphological and Appearance Features for Predicting Physical Disability from MR Images in Multiple Sclerosis Patients, by Jeremy Kawahara, Chris McIntosh, Roger Tam, Ghassan Hamarneh.- Classification of Spinal Deformities using a Parametric Torsion Estimator, by Jesse Shen, Stefan Parent, Samuel Kadoury.- Lumbar Spine Disc Herniation Diagnosis with a Joint Shape Model, by Raja Alomari, Vipin Chaudhary, Jason Corso, Gurmeet Dhillon.- Epidural Masses Detection on Computed Tomography Using Spatially-Constrained Gaussian Mixture Models, by Sanket Pattanaik, Jiamin Liu, Jianhua Yao, Weidong Zhang, Evrim Turkbey, Xiao Zhang, Ronald Summers.- Quantitative Imaging: Comparison of manual and computerized measurements of sagittal vertebral inclination in MR images, by Tomaz Vrtovec, Franjo Pernus, Bostjan Likar.- Eigenspine: Eigenvector Analysis of Spinal Deformities in Idiopathic Scoliosis, by Daniel Forsberg, Claes Lundstrom, Mats Andersson, Hans Knutsson.- Quantitative Monitoring of Syndesmophyte Growth in Ankylosing Spondylitis Using Computed Tomography, by Sovira Tan, Jianhua Yao, Lawrence Yao, Michael Ward.- A Semi-automatic Method for the Quantification of Spinal Cord Atrophy, by Simon Pezold, Michael Amann, Katrin Weier, Ketut Fundana, Ernst Radue, Till Sprenger, Philippe Cattin.- Segmentation II (MR): Multi-modal vertebra segmentation from MR Dixon in hybrid whole-body PET/MR, by Christian Buerger, Jochen Peters, Irina Waechter-Stehle, Frank Weber, Tobias Klinder, Steffen Renisch.- Segmentation of intervertebral discs from high-resolution 3D MRI using multi-level statistical shape models, by Ales Neubert, Jurgen Fripp, Craig Engstrom, Stuart Crozier.- A supervised approach towards segmentation of clinical MRI for automatic lumbar diagnosis, by Subarna Ghosh, Manavender Malgireddy, Vipin Chaudhary, Gurmeet Dhillon.- Registration/Labeling: Automatic Segmentation and Discrimination of Connected Joint Bones from CT by Multi-atlas Registration, by Tristan Whitmarsh, Graham Treece, Kenneth Poole.- Registration of MR to Percutaneous Ultrasound of the Spine for Image-Guided Surgery, by Lars Eirik Bo, Rafael Palomar, Tormod Selbekk, Ingerid Reinertsen.- Vertebrae Detection and Labelling in Lumbar MR Images, by Meelis Lootus, Timor Kadir, Andrew Zisserman.
• (source: Nielsen Book Data)

This book contains the full papers presented at the MICCAI 2013 workshop Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together researchers representing several fields, such as Biomechanics, Engineering, Medicine, Mathematics, Physics and Statistic. The works included in this book present and discuss new trends in those fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modelling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.
(source: Nielsen Book Data)

• 1. Introduction
• 1.1 Meshless Methods
• 1.2 Natural Neighbour Radial Point Interpolation Method
• 1.3 Bone tissue remodelling analysis
• 1.4 Book Purpose
• 1.5 Meshless method software
• 1.6 Book arrangement
• 2. Solid Mechanics Fundamentals
• 2.1 Continuum formulation
• 2.2 Weak form
• 2.3 Discrete system of equations
• 3. Meshless Methods Introduction
• 3.1 Meshless generic procedure
• 3.2 Nodal connectivity
• 3.3Numerical integration
• 3.4 Numerical implementation
• 4. Shape Functions
• 4.1 Introduction
• 4.2 Support-Domain
• 4.3 Moving Least Squares
• 4.4 Radial Point Interpolators
• 5. Solid Mechanics Problems
• 5.1 Solid Mechanics NNRPIM flow chart
• 5.2 RPI shape function patch test
• 5.3 Elastostatic numerical examples
• 5.4 Elastodynamic numerical examples
• 6. Bone Tissue
• 6.1 Bone biology: Basic concepts
• 6.2 Bone tissue mechanical properties
• 6.3 Bone remodelling algorithms
• 7. Bone Tissue Remodelling Analysis
• 7.1 Bone Patch Analysis
• 7.2 Bone Structures
• 7.3 Implants
• 8. References
• 9. Subject Index.

This book presents the complete formulation of a new advanced discretization meshless technique: the Natural Neighbour Radial Point Interpolation Method (NNRPIM). In addition, two of the most popular meshless methods, the EFGM and the RPIM, are fully presented. Being a truly meshless method, the major advantages of the NNRPIM over the FEM, and other meshless methods, are the remeshing flexibility and the higher accuracy of the obtained variable field. Using the natural neighbour concept, the NNRPIM permits to determine organically the influence-domain, resembling the cellulae natural behaviour. This innovation permits the analysis of convex boundaries and extremely irregular meshes, which is an advantage in the biomechanical analysis, with no extra computational effort associated. This volume shows how to extend the NNRPIM to the bone tissue remodelling analysis, expecting to contribute with new numerical tools and strategies in order to permit a more efficient numerical biomechanical analysis.

• Preface
• Part I: Methods and Models
• 1. Shape Analysis for Brain Structures: A Review, by Bernard Ng, Matthew Toews, Stanley Durrleman, Yonggang Shi
• 2. Shape Analysis in Molecular Imaging, by Fei Gao, Pengcheng Shi
• 3. Variational Shape Representation for Modeling, Elastic Registration and Segmentation, by Amal A. Farag, Ahmed Shalaby, Aly A. Farag
• 4. Image Computing Based on Bayesian Models, by Zhong Xue, Stephen Wong
• 5. Shape-Constrained Deformable Models and Applications in Medical Imaging, by Jürgen Weese, Irina Waechter-Stehle, Lyubomir Zagorchev, Jochen Peters
• Part II: Application Cases
• 6. Accurate Pathology Segmentation in FLAIR MRI for Robust Shape Characterization, by April Khademi, Alan R. Moody, Anastasios Venetsanopoulos
• 7. Groupwise Registration of Brain Images, by Zhenyu Tang, Yong Fan
• 8. Modeling of Lung Nodules from LDCT of the Human Chest: Algorithms and Evaluation for CAD Systems, by Amal A. Farag, James Graham, Salwa Elshazly, Mohamed Al-Mogy, Aly Farag
• 9. Analyzing the Shape and Motion of the Lung and Heart in Dynamic Pulmonary Imaging, by Jianming Liang, Tim McInerney, Demetri Terzopoulos
• 10. Epithelial Cell Segmentation via Shape Ranking, by Alberto Santamaria-Pang, Yuchi Huang, Jens Rittscher
• 11. Computational Modeling of the Spine, by T. Klinder, S. Kadoury, C. Lorenz
• 12. Shape Constraints for the Left Ventricle Segmentation from Cardiac Cine MRI Based on Snake Models, by Yuanquan Wang, Yuwei Wu, Yunde Jia
• 13. An Optical Flow Approach to Assessment of Ventricular Shape Change Based on Echocardiography, by Amir A. Amini, Nirmanmoh Bhatia, Rita Longaker, Motaz Alshaher, Marcus Stoddard and Vahid Tavakoli.

This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification, and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice. This volume treats topics such as, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms. This work will be of interest to researchers, students, and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, medicine, pattern recognition and physics.

• Preface
• Clinical Imaging and Applications
• Imaging of the Spine: A Medical and Physical Perspective, by Joseph Burns
• Arthritis of the Spine, by Runsheng Wang, Michael Ward
• Osteoporosis, by Thomas Baum et al.
• Image Processing
• Computer aided detection of bone metastases in the thoracolumbar spine, by Jianhua Yao
• Quantitative Monitoring of Bone Formation in Ankylosing Spondylitis Using Computed Tomography, by Sovira Tan
• Three-dimensional Spine Reconstruction from Radiographs, by Samuel Kadoury
• Vertebral Column Localization, Segmentation, and Labeling, by V. Chaudhary
• Automated Determination of the Spine-Based Coordinate System for an Efficient Cross-Sectional Visualization of 3D Spine Images, by Tomaz Vrtovec
• Cross-Modality Vertebrae Localization and Labeling using Learning-Based Approaches, by Yiqiang Zhan, Bing Jian, Maneesh Dewan, Xiang Sean Zhou
• Articulated Statistical Shape Models of the Spine, by J. Boisvert
• Reconstruction of 3D Vertebral Model from A Single 2D Lateral Fluoroscopic Image, by Guoyan Zheng and Lutz-P. Nolte
• Graphical Model-based Vertebral Identification from X-ray Images, by Xiao Dong and Guoyan Zheng
• Model-Based Segmentation, Reconstruction and Analysis of the Vertebral Body from Spinal CT, by Melih Aslan, Ahmed Shalaby, Asem Ali, and Aly A. Farag
• Image Guided Spine Intervention
• Toward Virtual Modeling and Templating for Enhanced Spine Surgery Planning, by Cristian Linte, David Holmes
• Automated Determination of the Spine-Based Coordinate System for an Efficient Cross-Sectional Visualization of 3D Spine Images, by Tamas Ungi, Andras Lasso, Gabor Fitchinger
• Robotic Assistance and Intervention in Spine Surgery, by Rajesh Kumar
• Index.

This book is instrumental to building a bridge between scientists and clinicians in the field of spine imaging by introducing state-of-the-art computational methods in the context of clinical applications. Spine imaging via computed tomography, magnetic resonance imaging, and other radiologic imaging modalities, is essential for noninvasively visualizing and assessing spinal pathology. Computational methods support and enhance the physician?s ability to utilize these imaging techniques for diagnosis, non-invasive treatment, and intervention in clinical practice. Chapters cover a broad range of topics encompassing radiological imaging modalities, clinical imaging applications for common spine diseases, image processing, computer-aided diagnosis, quantitative analysis, data reconstruction and visualization, statistical modeling, image-guided spine intervention, and robotic surgery. This volume serves a broad audience as contributions were written by both clinicians and researchers, which reflects the intended readership as well, being a potentially comprehensive book for all spine related clinicians, technicians, scientists, and graduate students.

• Computer-Aided Tissue Engineering: Application to the Case of Anterior Cruciate Ligament Repair / C.P. Laurent, D. Durville, C. Vaquette, R. Rahouadj
• Process Modeling and Rendering of Biochemical Structures: Actin / Ozan Kahramanoğulları, Andrew Phillips, Federico Vaggi
• A Model Predicting Rolling Cells Percentage in Inflamed Brain Venules / Paola Lecca, Gabriela Constantin, Carlo Laudanna
• Analysis and Modeling of Metabolism of Cancer / Miroslava Cuperlovic-Culf, Pier Morin Jr
• Modelling the Influence of Cell Signaling on the Dynamics of Gene Regulatory Networks / Chiara Damiani
• Mechanistic Models of Astrocytic Glucose Metabolism Calibrated on PET Images / Paola Lecca, Michela Lecca.

The application of methodological approaches and mathematical formalisms proper to Physics and Engineering to investigate and describe biological processes and design biological structures has led to the development of many disciplines in the context of computational biology and biotechnology. The best known applicative domain is tissue engineering and its branches. Recent domains of interest are in the field of biophysics, e.g.: multiscale mechanics of biological membranes and films and filaments; multiscale mechanics of adhesion; biomolecular motors and force generation. Modern hypotheses, models, and tools are currently emerging and resulting from the convergence of the methods and philosophical approaches of the different research areas and disciplines. All these emerging approaches share the purpose of disentangling the complexity of organisms, tissues, and cells and mimicking the function of living systems. The contributions presented in this book are current research highlights of six challenging and representative applicative domains of phyisical, engineering, and computational approaches in medicine and biology, i.e tissue engineering, modelling of molecular structures, cell mechanics and cell adhesión processes, cancer physics, and physico-chemical processes of metabolic interactions. Each chapter presents a compendium or a review of the original results achieved by authors in the last years. Furthermore, the book also wants to pinpoint the questions that are still open and that could propel future research.

• A Data Driven Approach to Cervigram Image Analysis and Classification / Edward Kim and Xiaolei Huang
• Macroscopic Pigmented Skin Lesion Segmentation and Its Influence on Lesion Classification and Diagnosis / Pablo G. Cavalcanti and Jacob Scharcanski
• Color and Spatial Features Integrated Normalized Distance for Density Based Border Detection in Dermoscopy Images / Sinan Kockara, Mutlu Mete and Sait Suer
• A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions / Lucia Ballerini, Robert B. Fisher, Ben Aldridge and Jonathan Rees
• Color Quantization of Dermoscopy Images Using the K-Means Clustering Algorithm / M. Emre Celebi, Quan Wen, Sae Hwang and Gerald Schaefer
• Grading the Severity of Diabetic Macular Edema Cases Based on Color Eye Fundus Images / Daniel Welfer, Jacob Scharcanski, Pablo Gautério Cavalcanti, Diane Ruschel Marinho and Laura W.B. Ludwig, et al.
• Colour Image Analysis of Wireless Capsule Endoscopy Video: A Review / Mark Fisher and Michal Mackiewicz
• Automated Prototype Generation for Multi-color Karyotyping / Xuqing Wu, Shishir Shah and Fatima Merchant
• Colour Model Analysis for Histopathology Image Processing / Gloria Bueno, Oscar Déniz, Jesús Salido, M. Milagro Fernández and Noelia Vállez, et al.
• A Review on CAD Tools for Burn Diagnosis / Aurora Sáez, Carmen Serrano and Begoña Acha.

Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images. The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.

• Part 1. Fundamentals and animation applications
• Deformable Objects Representation / Pere Palmer, Arnau Mir and Manuel González-Hidalgo
• Free Form Deformations or Deformations Non-Constrained by Geometries or Topologies / Romain Raffin
• Cage Based Deformations: A Survey / Jesús R. Nieto and Antonio Susín
• Image Gradient Based Level Set Methods in 2D and 3D / Xianghua Xie, Si Yong Yeo, Majid Mirmehdi, Igor Sazonov and Perumal Nithiarasu
• A Fast Geometric Deformation Method to Adapt a Foot to a Platform / J.M. Buades, M. González-Hidalgo, Francisco J. Perales, S. Ramis-Guarinos and A. Oliver, et al.
• Frame-Based Interactive Simulation of Complex Deformable Objects / Benjamin Gilles, François Faure, Guillaume Bousquet and Dinesh K. Pai.

• Part 2. Tracking and Computer Vision Applications
• Robust Deformable Models for 2D and 3D Shape Estimation / Jorge S. Marques, Jacinto C. Nascimento and Carlos Santiago
• Deformable Face Alignment via Local Measurements and Global Constraints / Jason M. Saragih
• Learning-Based Detection and Tracking in Medical Imaging: A Probabilistic Approach / Yang Wang, Bogdan Georgescu, Terrence Chen, Wen Wu and Peng Wang, et al.
• A Supervised Graph-Cut Deformable Model for Brain MRI Segmentation / Laura Igual, Joan Carles Soliva, Antonio Hernández-Vela, Sergio Escalera and Oscar Vilarroya, et al.
• Elastic Registration of Edges Using Diffuse Surfaces / Stefan Fürtinger, Stephen Keeling, Gernot Plank and Anton J Prassl
• Errors in Estimates of Motion and Strain-Tensor in Ultrasound Elastography / Mehmet Bilgen.

The computational modelling of deformations has been actively studied for the last thirty years. This is mainly due to its large range of applications that include computer animation, medical imaging, shape estimation, face deformation as well as other parts of the human body, and object tracking. In addition, these advances have been supported by the evolution of computer processing capabilities, enabling realism in a more sophisticated way. This book encompasses relevant works of expert researchers in the field of deformation models and their applications. The book is divided into two main parts. The first part presents recent object deformation techniques from the point of view of computer graphics and computer animation. The second part of this book presents six works that study deformations from a computer vision point of view with a common characteristic: deformations are applied in real world applications. The primary audience for this work are researchers from different multidisciplinary fields, such as those related with Computer Graphics, Computer Vision, Computer Imaging, Biomedicine, Bioengineering, Mathematics, Physics, Medical Imaging and Medicine.