Knowledge-based localization of hippocampus in human brain MRI

被引：8
|
作者：
Siadat, Mohammad-Reza
Soltanian-Zadeh, Hamid
Elisevich, Kost V.
机构：
[1] Dept Diagnost Radiol, Radiol Image Anal Lab, Henry Ford Hlth Syst, Detroit, MI 48202 USA
[2] Univ Tehran, Fac Engn, Control & Intelligent Proc Ctr Excellence, Dept Elect & Comp Engn, Tehran, Iran
[3] Dept Neurosurg, Henry Ford Hlth Syst, Detroit, MI 48202 USA
来源：
COMPUTERS IN BIOLOGY AND MEDICINE | 2007年 / 37卷 / 09期
关键词：
brain structure identification and localization; MRI segmentation; hippocampus; epilepsy; rule-based and knowledge-based systems;
D O I：
10.1016/j.compbiomed.2006.12.010
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We present a novel and efficient method for localization of human brain structures such as hippocampus. Landmark localization is important for segmentation and registration. This method follows a statistical roadmap, consisting of anatomical landmarks, to reach the desired structures. Using a set of desired and undesired landmarks, identified on a training set, we estimate Gaussian models and determine optimal search areas for desired landmarks. The statistical models form a set of rules to evaluate the extracted landmarks during the search procedure. When applied on 900 MR images of 10 epileptic patients, this method demonstrated an overall success rate of 83%. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1342 / 1360
页数：19
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