With the rapid increase in the variety and quantity of biomedical images in recent years, we see a steadily growing number of computer vision technologies applied to biomedical applications. The time is ripe for us to take a closer look at the accomplishments and experiences gained in this research subdomain, and to strategically plan the directions of our future research. The scientific goal of our workshop, “Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends” (CVBIA), is to examine the diverse applications of computer vision to biomedical image applications, considering both current methods and promising new trends. An additional goal is to provide the opportunity for direct interactions between (1) prominent senior researchers and young scientists, including students, postdoctoral associates and junior faculty; (2) local researchers and international leaders in biomedical image analysis; and (3) computer scientists and medical practitioners. Our CVBIA workshop had two novel characteristics: each contributed paper was authored primarily by a young scientist, and the workshop attracted an unusually large number of well-respected invited speakers (and their papers). We had the good fortune of having Dr. Ayache of INRIA, France to talk about “Computational Anatomy and Computational Physiology,” Prof. Grimson of MIT to discuss “Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge,” Dr. Jiang of the Chinese Academy of Sciences to present their work on “Computational Neuroanatomy and Brain Connectivity,” Prof.
Author(s): Nicholas Ayache (auth.), Yanxi Liu, Tianzi Jiang, Changshui Zhang (eds.)
Series: Lecture Notes in Computer Science 3765 : Image Processing, Computer Vision, Pattern Recognition, and Graphics
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2005
Language: English
Pages: 563
Tags: Pattern Recognition; Image Processing and Computer Vision; Computer Graphics; Artificial Intelligence (incl. Robotics); Imaging / Radiology; Health Informatics
Front Matter....Pages -
Computational Anatomy and Computational Physiology for Medical Image Analysis....Pages 1-2
Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge....Pages 3-12
Advances on Medical Imaging and Computing....Pages 13-23
Tracking of Migrating and Proliferating Cells in Phase-Contrast Microscopy Imagery for Tissue Engineering....Pages 24-24
Cardiology Meets Image Analysis: Just an Application or Can Image Analysis Usefully Impact Cardiology Practice?....Pages 25-30
Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions....Pages 31-50
3D Statistical Shape Models to Embed Spatial Relationship Information....Pages 51-60
A Generalized Level Set Formulation of the Mumford-Shah Functional with Shape Prior for Medical Image Segmentation....Pages 61-71
A Hybrid Eulerian-Lagrangian Approach for Thickness, Correspondence, and Gridding of Annular Tissues....Pages 72-81
A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints....Pages 82-92
A Learning Framework for the Automatic and Accurate Segmentation of Cardiac Tagged MRI Images....Pages 93-102
A Local Adaptive Algorithm for Microaneurysms Detection in Digital Fundus Images....Pages 103-113
A New Coarse-to-Fine Framework for 3D Brain MR Image Registration....Pages 114-124
A New Vision Approach for Local Spectrum Features in Cervical Images via 2D Method of Geometric Restriction in Frequency Domain....Pages 125-134
Active Contours Under Topology Control Genus Preserving Level Sets....Pages 135-145
A Novel Multifaceted Virtual Craniofacial Surgery Scheme Using Computer Vision....Pages 146-159
A Novel Unsupervised Segmentation Method for MR Brain Images Based on Fuzzy Methods....Pages 160-169
A Pattern Classification Approach to Aorta Calcium Scoring in Radiographs....Pages 170-177
A Topologically Faithful, Tissue-Guided, Spatially Varying Meshing Strategy for Computing Patient-Specific Head Models for Endoscopic Pituitary Surgery Simulation....Pages 178-188
Applying Prior Knowledge in the Segmentation of 3D Complex Anatomic Structures....Pages 189-199
Automatic Extraction of Femur Contours from Hip X-Ray Images....Pages 200-209
Automatic Landmarking of 2 D Medical Shapes Using the Growing Neural Gas Network....Pages 210-219
Biomedical Image Classification with Random Subwindows and Decision Trees....Pages 220-229
Combining Binary Classifiers for Automatic Cartilage Segmentation in Knee MRI....Pages 230-239
Computer-Aided Diagnosis (CAD) for Cervical Cancer Screening and Diagnosis: A New System Design in Medical Image Processing....Pages 240-250
Constrained Surface Evolutions for Prostate and Bladder Segmentation in CT Images....Pages 251-260
Curvilinear Structure Based Mammographic Registration....Pages 261-270
Deformable Registration for Generating Dissection Image of an Intestine from Annular Image Sequence....Pages 271-280
Distance-Intensity for Image Registration....Pages 281-290
Efficient Population Registration of 3D Data....Pages 291-301
Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities....Pages 302-313
Elastic Interaction Models for Active Contours and Surfaces....Pages 314-323
Estimating Diameters of Pulmonary Nodules with Competition-Diffusion and Robust Ellipsoid Fit....Pages 324-334
Fast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interaction....Pages 335-345
Improved Motion Correction of fMRI Time-Series Corrupted with Major Head Movement Using Extended Motion-Corrected Independent Component Analysis....Pages 346-355
Local or Global Minima: Flexible Dual-Front Active Contours....Pages 356-366
Locally Switching Between Cost Functions in Iterative Non-rigid Registration....Pages 367-377
Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI)....Pages 378-387
Multi-scale Vessel Boundary Detection....Pages 388-398
Non-rigid Registration for Colorectal Cancer MR Images....Pages 399-408
Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images....Pages 409-418
Real-Time Simulation of Deformable Soft Tissue Based on Mass-Spring and Medial Representation....Pages 419-426
Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling....Pages 427-436
Registration of PET and MR Hand Volumes Using Bayesian Networks....Pages 437-448
Segmentation and Volume Representation Based on Spheres for Non-rigid Registration....Pages 449-458
Segmentation of 3D CT Volume Images Using a Single 2D Atlas....Pages 459-468
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines....Pages 469-478
Segmenting Cardiopulmonary Images Using Manifold Learning with Level Sets....Pages 479-488
Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images....Pages 489-498
Simultaneous Segmentation and Motion Recovery in 3D Cardiac Image Analysis....Pages 499-507
Spatial and Temporal Analysis for Optical Imaging Data Using CWT and tICA....Pages 508-516
Stereo Matching and 3-D Reconstruction for Optic Disk Images....Pages 517-525
Total Variation Based Iterative Image Reconstruction....Pages 526-534
Voronoi-Based Segmentation of Cells on Image Manifolds....Pages 535-543
Parcellating the Intra-splenium Based on the Traced Fiber from Tractography....Pages 544-550
Motion Compensation and Plane Tracking for Kinematic MR-Imaging....Pages 551-560
Back Matter....Pages -
