Quantitative study of brain anatomy

被引：11

作者：

Chen, M ^{[1
]}

Kanade, T ^{[1
]}

Rowley, HA ^{[1
]}

Pomerleau, D ^{[1
]}

机构：

[1] Carnegie Mellon Univ, Sch Comp Sci, Pittsburgh, PA 15213 USA

来源：

WORKSHOP ON BIOMEDICAL IMAGE ANALYSIS, PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/BIA.1998.692398

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We introduce a system that automatically segments and classifies features in brain MRIs. Ir takes 22 minutes to segment 144 structures in a 256x256x124 voxel image on an SGI computer with three 194 MHz RIOK processors. The accuracy is comparable to manual segmentation, which can take an expert at least 8 months. The process starts with an atlas, a hand segmented and classified MRI of a normal brain. Given a subject's data, the atlas is warped in 3-D using a hierarchical deformable matching algorithm until it closely matches the subject, i.e. the atlas is customized for rite subject. The customized atlas contains the segmentation and classification of the subject's anatomical structures. Qualitative and quantitative evaluations of the system's performance show promise for applications in the quantitative study of brain anatomy We have obtained initial results for finding the,normal range of variation in the size and symmetry properties of anatomical structures, and for detecting pathologies.

引用

页码：84 / 92

页数：9