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l医学成像的信息处理/2005年国际会议录Information Processing in Medical Imaging: 19th Internationa书籍详细信息

  • I***N:9783540265450
  • 作者:暂无作者
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  • 出版时间:2005-08
  • 页数:777
  • 价格:835.30
  • 纸张:胶版纸
  • 装帧:平装
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内容简介:

This book c***titutes the refeered proceedings of the 19th International Conference on Information Processing in Medical Imaging, IPMI 2005, held in Glenwood Springs, Colorado, in July 2005.

The 63 revised full papers presented were carefully reviewed and selected from 245 submissi***. The papers are ***anized in topical secti*** on shape and population modeling, diffusion tensor imaging and functional magnetic resonance, segmentation and filtering, small animal imaging, surfaces and segmentation, applicati***, image registration, registration and segmentation.


书籍目录:

Shape and Population Modeling

***nified Information-Theoretic Approach to Groupwise Non-rigid Registration and Model Building

Hypothesis Testing with Nonlinear Shape Models

Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability

Bayesian Population Modeling of Effective Connectivity

Diffusion Tensor Imaging and Functional Magnetic Resonance

Fiber Tracking in q-Ball Fields Using Regularized Particle Trajectories

Approximating Anatomical Brain Connectivity with Diffusion Tensor MRI Using Kernel-Based Diffusion Simulati***

Maximum Entropy Spherical Deconvolution for Diffusion MRI

From Spatial Regularization to Anatomical Priors in fMRI Analysis

Segmentation and Filtering

CLASSIC: C***istent Longitudinal Alignment and Segmentation for Serial Image Computing

Robust Active Appearance Model Matching

Simultaneous Segmentation and Registration of Contrast-Enhanced Breast MRI

Multiscale Vessel Enhancing Diffusion in CT Angiography Noise Filtering

Poster Session 1

Information Fusion in Biomedical Image Analysis: Combination of Data vs. Combination of Interpretati***

Parametric Medial Shape Representation in 3-D via the Poisson Partial Differential Equation with Non-linear Boundary Conditi***

Diffeomorphic Nonlinear Transformati***: A Local Parametric Approach for Image Registration

A Framework for Registration, Statistical Characterization and Classification of Cortically C***trained Functional Imaging Data

PET Image Rec***truction: A Robust State Space Approach

Multi-dimensional Mutual Information Based Robust Image Registration Using Maximum Distance-Gradient-Magnitude

Tissue Perfusion Diagnostic Classification Using a Spatio-temporal Analysis of Contrast Ultrasound Image Sequences

……

Small Animal Imaging

Surfaces and Segmentation

Applicati***

Image Registration

Roster Session 2

Registration and Segmentation

Author Index


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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 ***anizati*** and societies, LNCS has grown into the most comprehensive computer science research forum available.

The scope of LNCS, including its subseries LNAI and LNBI, spans the w*** 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 (c***isting of thoroughly revised final full papers)

-research monographs (which may be based on outstanding PhD work,research projects, technical reports, etc.)


书籍介绍

This book c***titutes the refeered proceedings of the 19th International Conference on Information Processing in Medical Imaging, IPMI 2005, held in Glenwood Springs, Colorado, in July 2005. The 63 revised full papers presented were carefully reviewed and selected from 245 submissi***. The papers are ***anized in topical secti*** on shape and population modeling, diffusion tensor imaging and functional magnetic resonance, segmentation and filtering, small animal imaging, surfaces and segmentation, applicati***, image registration, registration and segmentation.


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