Computer Vision for Biomedical Image Applications : First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings / edited by Yanxi Liu, Tianzi Jiang, Changshui Zhang.

Format:

Book

Contributor:

Liu, Yanxi, editor.

Jiang, Tianzi, editor.

Zhang, Changshui, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 3765.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 3765

Language:

English

Subjects (All):

Pattern perception.

Optical data processing.

Computer graphics.

Artificial intelligence.

Radiology.

Medical informatics.

Pattern Recognition.

Image Processing and Computer Vision.

Computer Graphics.

Artificial Intelligence.

Imaging / Radiology.

Health Informatics.

Local Subjects:

Pattern Recognition.

Image Processing and Computer Vision.

Computer Graphics.

Artificial Intelligence.

Imaging / Radiology.

Health Informatics.

Physical Description:

1 online resource (X, 563 pages).

Edition:

First edition 2005.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.

System Details:

text file PDF

Summary:

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.

Contents:

Computational Anatomy and Computational Physiology for Medical Image Analysis

Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge

Advances on Medical Imaging and Computing

Tracking of Migrating and Proliferating Cells in Phase-Contrast Microscopy Imagery for Tissue Engineering

Cardiology Meets Image Analysis: Just an Application or Can Image Analysis Usefully Impact Cardiology Practice?

Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions

3D Statistical Shape Models to Embed Spatial Relationship Information

A Generalized Level Set Formulation of the Mumford-Shah Functional with Shape Prior for Medical Image Segmentation

A Hybrid Eulerian-Lagrangian Approach for Thickness, Correspondence, and Gridding of Annular Tissues

A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints

A Learning Framework for the Automatic and Accurate Segmentation of Cardiac Tagged MRI Images

A Local Adaptive Algorithm for Microaneurysms Detection in Digital Fundus Images

A New Coarse-to-Fine Framework for 3D Brain MR Image Registration

A New Vision Approach for Local Spectrum Features in Cervical Images via 2D Method of Geometric Restriction in Frequency Domain

Active Contours Under Topology Control Genus Preserving Level Sets

A Novel Multifaceted Virtual Craniofacial Surgery Scheme Using Computer Vision

A Novel Unsupervised Segmentation Method for MR Brain Images Based on Fuzzy Methods

A Pattern Classification Approach to Aorta Calcium Scoring in Radiographs

A Topologically Faithful, Tissue-Guided, Spatially Varying Meshing Strategy for Computing Patient-Specific Head Models for Endoscopic Pituitary Surgery Simulation

Applying Prior Knowledge in the Segmentation of 3D Complex Anatomic Structures

Automatic Extraction of Femur Contours from Hip X-Ray Images

Automatic Landmarking of 2D Medical Shapes Using the Growing Neural Gas Network

Biomedical Image Classification with Random Subwindows and Decision Trees

Combining Binary Classifiers for Automatic Cartilage Segmentation in Knee MRI

Computer-Aided Diagnosis (CAD) for Cervical Cancer Screening and Diagnosis: A New System Design in Medical Image Processing

Constrained Surface Evolutions for Prostate and Bladder Segmentation in CT Images

Curvilinear Structure Based Mammographic Registration

Deformable Registration for Generating Dissection Image of an Intestine from Annular Image Sequence

Distance-Intensity for Image Registration

Efficient Population Registration of 3D Data

Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities

Elastic Interaction Models for Active Contours and Surfaces

Estimating Diameters of Pulmonary Nodules with Competition-Diffusion and Robust Ellipsoid Fit

Fast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interaction

Improved Motion Correction of fMRI Time-Series Corrupted with Major Head Movement Using Extended Motion-Corrected Independent Component Analysis

Local or Global Minima: Flexible Dual-Front Active Contours

Locally Switching Between Cost Functions in Iterative Non-rigid Registration

Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI)

Multi-scale Vessel Boundary Detection

Non-rigid Registration for Colorectal Cancer MR Images

Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images

Real-Time Simulation of Deformable Soft Tissue Based on Mass-Spring and Medial Representation

Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling

Registration of PET and MR Hand Volumes Using Bayesian Networks

Segmentation and Volume Representation Based on Spheres for Non-rigid Registration

Segmentation of 3D CT Volume Images Using a Single 2D Atlas

Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines

Segmenting Cardiopulmonary Images Using Manifold Learning with Level Sets

Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images

Simultaneous Segmentation and Motion Recovery in 3D Cardiac Image Analysis

Spatial and Temporal Analysis for Optical Imaging Data Using CWT and tICA

Stereo Matching and 3-D Reconstruction for Optic Disk Images

Total Variation Based Iterative Image Reconstruction

Voronoi-Based Segmentation of Cells on Image Manifolds

Parcellating the Intra-splenium Based on the Traced Fiber from Tractography

Motion Compensation and Plane Tracking for Kinematic MR-Imaging.

Other Format:

Printed edition:

ISBN:

978-3-540-32125-5

9783540321255

Access Restriction:

Restricted for use by site license.