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Information Processing in Medical Imaging 医学成像的信息处理

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Information Processing in Medical Imaging 医学成像的信息处理

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作 者:Michael F. Insana 著

出 版 社:湖南文艺出版社

出版时间:2002-8-1

I S B N:3540422455

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内容简介

The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and Societies, LNCS has grown into the most comprehensive computer science research forum available.
The scope of LNCS, including its sub series LNAI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes
  - Proceedings (published in time for the respective conference)
  - Post-proceedings (consisting of thoroughly revised final full papers)
  -research monographs (which may be based on outstanding PhD work, research projects, technical reports, etc.)

作者简介

目录

Objective Assessment of Image Quality
 On the Difficulty of Detecting Tumors in Mammograms
 Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard
 Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments
Shape Modeling
 The Active Elastic Model
 A Minimum Description Length Approach to Statistical Shape Modelling
 Multi-scale 3-D Deformable Model Segmentation Based on Medial Description
 Automatic 3D ASM Construction via Atlas-Based Land marking and Volumetric Elastic Registration
Molecular and Diffusion Tensor Imaging
 A Regularization Scheme for Diffusion Tensor Magnetic Resonance Images
 Distributed Anatomical Brain Connectivity Derived from Diffusion Tensor Imaging
Study of Connectivity in the Brain Using the Full Diffusion Tesor from MRI
Poster SessionⅠ:Registration and Structural Analysis
Incorporating Image Processing in a Clinical Decision Support System
Automated Estimation of Brain Volume in Multiple Sclerosis with BICCR
Automatic Image Registration for MR and Ultrasound cardiac Images
Estimating Sparse Deformation Fields Using Multiscale Bayesian Priors and 3-D Ultrasound
Automatic Registration of Mammograms Based on Linear Structures
Tracking Brain Deformations in Time-Sequences of 3D US Image~
Robust Multimodal Image Registration Using Local Frequency Representations
Steps Toward a Stereo: Camera-Guided Biomechanical Model for Brain Shift Compensation
Poster SessionⅠ:Functional Image Analysis
  Spatiotemporal I Analysis of Functional Images Using the Fixed Effect Model
  Spatio-temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
……
fMRI/EEG/MEG
Deformable Registration
Poster SessionⅡ:Shape Analysis
Poster SessionⅡ:Functional Image Analysis
Analysis of Brain Structure
Subject Index
Author Index

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