Medical Imaging and Augmented Reality 医学成像和现实

出版时间：2004-10  出版社：北京燕山出版社  作者：Guang-Zhong Yang　著  页数：378  
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内容概要

This book constitutes the refereed proceedings of the Second International Workshop on Medical Imaging and Augmented Reality, MIAR 2004, held in Beijing, China, in August 2004.    The 41 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections on image processing, reconstruction, and coding; statistical and shape based segmentation; brain image analysis; cardiac modeling and segmentation; image registration; and surgical navigation and augmented reality.

书籍目录

Invited Contributions  New Advances in MRI  Segmentation of Focal Brain Lesions  Imaging Support of Minimally Invasive Procedures  Hands-On Robotic Surgery: Is This the Future?Image Processing, Reconstruction and Coding  An Adaptive Enhancement Method for Ultrasound Images      State Space Strategies for Estimation of Activity Map in PET Imaging  Applying ICA Mixture Analysis for Segmenting Liver from Multi-phase Abdominal CT Images  Extracting Pathologic Patterns from NIR Breast Images with Digital Image Processing Techniques  Comparison of Phase-Encoded and Sensitivity-Encoded Spectroscopic Imaging   Detection and Restoration of a Tampered Medical Image  Efficient Lossy to Lossless Medical Image Compression Using Integer Wavelet Transform and Multiple Subband DecompositionStatistical and Shape Based Segmentation  Geodesic Active Regions Using Non-parametric Statistical Regional Description and Their Application to Aneurysm Segmentation from CTA  An Efficient Method for Deformable Segmentation of 3D US Prostate Images  White Matter Lesion Segmentation from Volumetric MR Images  Active Shape Model Segmentation Using Local Edge Structures and AdaBoost  Segmental Active Contour Model Integrating Region Information for Medical Image Segmentation  A Level Set Algorithm for Contour Tracking in Medical Images  Robust Object Segmentation with Constrained Curve Embedding Potential Field  Tracking Lumbar Vertebrae in Digital Videofluoroscopic Video Automatically  Brain Image Analysis  A New Algorithm Based on Fuzzy Gibbs Random Fields for Image Segmentation  Improved Fiber Tracking for Diffusion Tensor MRI  Rapid and Automatic Exttraction of the Modified Talairach Cortical Landmarks from MR Neuroimages  Brain MR Image Segmentation Using Fuzzy Clustering With Spatial Constraints Based on Markov Random Field Theory   ……Cardiac Modeling and Segmentation Image RegistrationSurgical Navigation and Augmented RealityAuthor Index