Medical (医学图像计算与计算辅助介入-MICCA 2004/会议录 第1部分)
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内容提要：
The two-volume set LNCS 3216 and LNCS 3217 constitutes the refereed proceedings of the 7th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004, held in Saint-Malo, France, in September 2004.
The 235 revised full papers and 33 short communications presented were carefully reviewed and selected from a total of 617 submissions. The papers are organized in topical sections on brain segmentation, cardiovascular segmentation, segmentation, segmentation methods, registration, robotics, simulation and rendering, interventional imaging, brain imaging applications, and cardiovascular applications. 目录：
LNCS 3216: MICCAI 2004 Proceedings, Part I
Brain Segmentation Level Set Methods in an EM Framework for Shape Classification and Estimation Automatic Segmentation of Neonatal Brain MRI Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI Improved EM-Based Tissue Segmentation and Partial Volume Effect Quantification in Multi-Sequence Brain MRI Cardiovascular Segmentation Cardiac Motion and Elasticity Characterization with Iterative Sequential Criteria A Semi-automatic Endocardial Border Detection Method for 4D Ultrasound Data Vessel Segmentation Using a Shape Driven Flow Learning Coupled Prior Shape and Appearance Models for Segmentation Segmentation Ⅰ A Modified Total Variation Denoising Method in the Context of 3D Ultrasound Images Correcting Nonuniformities in MRI Using Entropy Minimization on an Elastic Model Texture Image Analysis for Osteoporosis Detection with Morphological Tools Multi-class Posterior Atlas Formation via Unbiased Kullback-Leibler Template Estimation Dual Front Evolution Model and Its Application in Medical Imaging Topology Smoothing for Segmentation and Surface Reconstruction Simultaneous Boundary and Partial Volume Estimationin Medical Images Local Watershed Operators for Image Segmentation Medical Image Segmentation Based on Mutual Information Maximization Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques Coupling Statistical Segmentation and PCA Shape Modeling Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets …… Segmentation Methodsa Segmentation Ⅱ RegistrationⅠ RegistrationⅡ Author Index |