Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications

1. Front Matter

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2. Medical Treatment, Imaging and Analysis

   1. HIFU Treatment of Liver Cancer – Reciprocal Effect of Blood Flow and US Studied from a Patient-Specific Configuration

      • Marc Thiriet, Maxim Solovchuk, Tony Wen-Hann Sheu

      Pages 1-11

   2. An Inter-Projection Interpolation (IPI) Approach with Geometric Model Restriction to Reduce Image Dose in Cone Beam CT (CBCT)

      • Hong Zhang, Fengchong Kong, Lei Ren, Jian-Yue Jin

      Pages 12-23

   3. Adaptive Sampling and Non Linear Reconstruction for Cardiac Magnetic Resonance Imaging

      • Giuseppe Placidi, Danilo Avola, Luigi Cinque, Guido Macchiarelli, Andrea Petracca, Matteo Spezialetti

      Pages 24-35

   4. A Feasibility Study on Kinematic Feature Extraction from the Human Interventricular Septum toward Hypertension Classification

      • Jing Xu, Jia Wu, Bahram Notghi, Marc Simon, John C. Brigham

      Pages 36-47

   5. Analysis of Cardiac MRI Based Regional Timing of Left Ventricular Mechanical Contraction as a Biomarker for Electrical Dyssynchrony in Heart-Failure Patients

      • Prahlad G. Menon, Srilakshmi M. Adhyapak, V. Rao Parachuri

      Pages 48-56

3. Image Registration, Denoising and Feature Identification

   1. A Parallel Adaptive Physics-Based Non-rigid Registration Framework for Brain Tumor Resection

      • Fotis Drakopoulos, Nikos P. Chrisochoides

      Pages 57-68

   2. Curvature-Based Registration for Slice Interpolation of Medical Images

      • Ahmadreza Baghaie, Zeyun Yu

      Pages 69-80

   3. Well-Posed Gaussian-Like Models for Image Denoising and Sharpening

      • Xiangtuan Xiong, Xinge Li, Guoliang Xu

      Pages 81-94

   4. Pattern Classes in Retinal Fundus Images Based on Function Norms

      • Isabel N. Figueiredo, Júlio S. Neves, Susana Moura, Carlos Manta Oliveira, João Diogo Ramos

      Pages 95-105

   5. Identification of Distinct Blood Vessels in Retinal Fundus Images

      • Nilanjana Dutta Roy, Milan Someswar, Harshit Dalmia, Arindam Biswas

      Pages 106-114

4. Image Segmentation

   1. Segmentation of Two-Phase Flow: A Free Representation for Levet Set Method with a Priori Knowledge

      • Mauren Louise Sguario, Lucia Valeria Ramos de Arruda, Iuri Nack Buss, Henderson Cari Nascimento

      Pages 115-132

   2. Analysis and Segmentation of a Three-Dimensional X-ray Computed Tomography Image of a Textile Composite

      • Ilya Straumit, Stepan V. Lomov, Martine Wevers

      Pages 133-142

   3. Image Segmentation by Image Analogies

      • Asma Bellili, Slimane Larabi

      Pages 143-151

   4. Improving Atlas-Based Medical Image Segmentation with a Relaxed Object Search

      • Renzo Phellan, Alexandre X. Falcão, Jayaram Udupa

      Pages 152-163

   5. Extended Edge-Weighted Centroidal Voronoi Tessellation for Image Segmentation

      • Kangkang Hu, Yongjie Jessica Zhang

      Pages 164-175

5. Shape Analysis, Meshing and Graphs

   1. Knapsack Intersection Graphs and Efficient Computation of Their Maximal Cliques

      • Valentin E. Brimkov

      Pages 176-187

   2. Characterization of a Novel Imaging-Based Metric of Patellofemoral Separation Using Computational Modeling

      • Prahlad G. Menon, Jacobus H. Muller

      Pages 188-203

   3. Feature-Sensitive and Adaptive Mesh Generation of Grayscale Images

      • Ming Xu, Zhanheng Gao, Zeyun Yu

      Pages 204-215

   4. Subdividing Prismatic Meshes by Cutting Flow

      • Xiaotian Yin, Wei Han, Xianfeng Gu, Shing-Tung Yau

      Pages 216-227

This book constitutes the refereed proceedings of the 4th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2014, held in Pittsburgh, PA, USA, in September 2014.
The 29 revised full papers presented together with 10 short papers and 6 keynote talks were carefully reviewed and selected from 54 submissions. The papers cover the following topics: medical treatment, imaging and analysis; image registration, denoising and feature identification; image segmentation; shape analysis, meshing and graphs; medical image processing and simulations; image recognition, reconstruction and predictive modeling; image-based modeling and simulations; and computer vision and data-driven investigations.

• 2D and 3D reconstruction
• artificial intelligence
• biological imaging
• biometric person identification
• computational modeling
• computer vision
• data interpolation
• health informatics
• image processing and analysis
• image registration and acquisition
• image segmentation
• machine learning
• medical imaging
• motion and deformation analysis
• objects tracking
• scientific data visualization
• shape modeling
• simulation
• vision in robotics and automation
• visual data mining and knowledge discovery

• Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, USA

  Yongjie Jessica Zhang

• Faculdade de Engenharia, Departamento de Engenharia Mecânica, Universidade do Porto, Porto, Portugal

  João Manuel R. S. Tavares

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