Medical Image Computing and Computer-Assisted Intervention - MICCAI'99: Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings

Medical Image Computing and Computer-Assisted Intervention - MICCAI'99: Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings

by Chris Taylor
     
 

Abnormal white matter of the brain is common to patients with one of s- eral difierent diseases (including multiple sclerosis (MS) and Alzheimer’s d- ease (AD)) and also appears in normal (asymptomatic) aging (NA) subjects. Better characterization of the nature of these white matter changes can help to improve our understanding of the biological processes at

…  See more details below

Overview

Abnormal white matter of the brain is common to patients with one of s- eral difierent diseases (including multiple sclerosis (MS) and Alzheimer’s d- ease (AD)) and also appears in normal (asymptomatic) aging (NA) subjects. Better characterization of the nature of these white matter changes can help to improve our understanding of the biological processes at work. Clinically, it is interesting to be able to difierentiate between difierent disease states and to—nd markerswhich allowearlydiagnosis.Conventionalspin echo magnetic resonance imaging is sensitive to these white matter changes. MRI studies of patients and volunteershaveindicatedthatthepatternsofbrainchangeassociatedwiththese processes are difierent. An important goal is to be able to quantitatively study these differences. Many automated and semi-automated segmentation algorithms for quan- tatively assessing these brain changes have been developed and validated. Most of these algorithms have aimed at determining a binary characterization of each voxelas one of a groupof possible tissue classes.This approachhas been limited bytwofactors.First,abnormalwhitematter isoftenisointensewithnormalgrey matter and previous studies have been limited by the inability to discriminate between some abnormal white matter and normal grey matter [1,2]. Secondly, white matter damage appears as an heterogenous region of abnormal signal - tensity but binarization of the segmentation treats all levels of signal intensity abnormality equally.

Read More

Editorial Reviews

Doody's Review Service
Reviewer: William R. Hendee, PhD (Medical College of Wisconsin)
Description: This is the proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention, which includes 133 state-of-the-art papers that were presented at the conference.
Purpose: The purpose of the conference and proceedings is to provide a single focus for the presentation of research in the emerging interdisciplinary area of medical imaging and computer-assisted intervention. This is a very important purpose that is achieved well in the publication.
Audience: The papers in these proceedings will be of great interest to researchers working in the multidisciplinary areas directly or closely related to the focus of the conference. The papers are highly technical and will be of little interest to others, except perhaps to physicists and engineers responsible for implementing sophisticated image-guided interventional programs in clinical environments.
Features: Papers in the proceedings encompass ten areas: data-driven segmentation, image processing and feature detection, surfaces and shape, measurement and interpretation, spatial-temporal and diffusion tensor analysis, registration and fusion, visualization, image-guided intervention, robotic systems, and biomechanics and simulation. The papers are written by individuals who are well established as researchers in their respective fields.
Assessment: This book is required reading for researchers working in the fields of medical image computing and computer-assisted intervention. It will be of some interest to physicists and engineers responsible for implementing such programs in clinical settings. It will have little interest to persons outside these groups.
4 Stars! from Doody
William R. Hendee
This is the proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention, which includes 133 state-of-the-art papers that were presented at the conference. The purpose of the conference and proceedings is to provide a single focus for the presentation of research in the emerging interdisciplinary area of medical imaging and computer-assisted intervention. This is a very important purpose that is achieved well in the publication. The papers in these proceedings will be of great interest to researchers working in the multidisciplinary areas directly or closely related to the focus of the conference. The papers are highly technical and will be of little interest to others, except perhaps to physicists and engineers responsible for implementing sophisticated image-guided interventional programs in clinical environments. Papers in the proceedings encompass ten areas: data-driven segmentation, image processing and feature detection, surfaces and shape, measurement and interpretation, spatial-temporal and diffusion tensor analysis, registration and fusion, visualization, image-guided intervention, robotic systems, and biomechanics and simulation. The papers are written by individuals who are well established as researchers in their respective fields. This book is required reading for researchers working in the fields of medical image computing and computer-assisted intervention. It will be of some interest to physicists and engineers responsible for implementing such programs in clinical settings. It will have little interest to persons outside these groups.

Read More

Product Details

ISBN-13:
9783540665038
Publisher:
Springer Berlin Heidelberg
Publication date:
01/01/1999
Series:
Lecture Notes in Computer Science Series, #1679
Edition description:
1999
Pages:
1242
Product dimensions:
6.10(w) x 9.25(h) x (d)

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >