Spatial normalization of spine MR statistical images for correlation of lesions with clinical symptoms

被引：12

作者：

Davatzikos, C

Liu, DF

Shen, DG

Herskovits, EH

机构：

[1] Johns Hopkins Univ, Sch Med, Dept Radiol & Radiol Sci, Ctr Biomed Image Comp, Baltimore, MD 21287 USA

[2] Johns Hopkins Univ, Sch Med, Dept Comp Sci, Baltimore, MD 21287 USA

[3] Johns Hopkins Univ, Sch Med, Dept Biomed Engn, Baltimore, MD 21287 USA

来源：

RADIOLOGY | 2002年 / 224卷 / 03期

关键词：

computers; diagnostic aid; model; mathematical; spine; stereotaxis;

D O I：

10.1148/radiol.2243011266

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 [临床医学]; 100207 [影像医学与核医学]; 1009 [特种医学];

摘要：

An image analysis method was developed for spatial normalization of spine magnetic resonance images. A deformable shape model of the spine is first constructed, and it is subsequently used by an automated algorithm to find a shape transformation that places patient data into a stereotaxic space. Very good agreement with manual segmentations was observed. The main application of this method is in lesion-deficit analysis for determining associations between structural damage and clinical symptoms. (C) RSNA, 2002.

引用

页码：919 / 926

页数：8

共 30 条

[1]

Voxel-based morphometry - The methods [J].