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| 《医学图像计算与计算机辅助介入治疗》 |
| 作者:Rasmus Larsen 著 |
| 出版社：湖南文艺出版社 |
出版日期：2006/12/1 |
| ISBN：9783540447276 |
定价： 1107.4元 |
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编辑推荐
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 resarch forum available.
The scope of LNCS, including its subseries LNAI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material publised traditionally includes.
-proceedings(published in time for the respective conference)
-post-proceedings(consisting of thoroughly revised final full papers)
-research monographs(which may be basde on outstanding PhD work, research projects, technical reports, etc.)
内容推荐
The two-volume set LNCS 4190 and LNCS 4191 constitute the refereed proceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006, held in Copenhagen, Denmark in October 2006.
The program committee carefully selected 39 revised full papers and 193 revised poster papers from 578 submissions for presentation in two volumes, based on a rigorous peer reviews. The first volume includes 114 contributions related to bone shape analysis, robotics and tracking, segmentation, analysis of diffusion tensor MRI, shape analysis and morphometry, simulation and interaction, robotics and intervention, cardio-vascular applications, image analysis in oncology, brain atlases and segmentation, cardiac motion analysis, clinical applications, and registration. The second volume collects 118 papers related to segmentation, validation and quantitative image analysis, brain image processing, motion in image formation, image guided clinical applications, registration, as well as brain analysis and registration.
目录
Segmentation Ⅰ
Robust Active Shape Models: A Robust, Generic and Simple Automatic Segmentation Tool
Automatic IVUS Segmentation of Atherosclerotic Plaque with Stop & Go Snake
Prostate Segmentation in 2D Ultrasound Images Using Image Warping and Ellipse Fitting
Detection of Electrophysiology Catheters in Noisy Fluoroscopy Images..
Fast Non Local Means Denoising for 3D MR Images
Active Shape Models for a Fully Automated 3D Segmentation of the Liver - An Evaluation on Clinical Data
Patient Position Detection for SAR Optimization in Magnetic Resonance Imaging
Symmetric Atlasing and Model Based Segmentation: An Application to the Hippocampus in Older Adults
Image Diffusion Using Saliency Bilateral Filter
Data Weighting for Principal Component Noise Reduction in Contrast Enhanced Ultrasound
Shape Filtering for False Positive Reduction at Computed Tomography Colonography
Validation and Quantitative Image Analysis
Evaluation of Texture Features for Analysis of Ovarian Follicular Development
A Fast Method of Generating Pharmacokinetic Maps from Dynamic Contrast-Enhanced Images of the Breast
Investigating Cortical Variability Using a Generic Gyral _Mo_del
Blood Flow and Velocity Estimation Based on Vessel Transit Time by Combining 2D and 3D X-Ray Angiography
Accurate Airway Wall Estimation Using Phase Congruency
Generation of Curved Planar Reformations from Magnetic Resonance Images of the Spine
Automated Analysis of Multi Site MRI Phantom Data for the NIHPD Project
Performance Evaluation of Grid-Enabled Registration Algorithms Using Bronze-Standards
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions……
Brain Image Processing
Motion in Image Formation
Image Guided Intervention
Clinical Applications Ⅱ
Registration Ⅱ
SegmentationⅡ
Brain Analysis and Registration
Author Index
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