MULTICENTER TRIAL OF AUTOMATED BORDER DETECTION IN CARDIAC MR IMAGING

被引：20

作者：

FLEAGLE, SR ^{[1
]}

THEDENS, DR ^{[1
]}

STANFORD, W ^{[1
]}

PETTIGREW, RI ^{[1
]}

REICHEK, N ^{[1
]}

SKORTON, DJ ^{[1
]}

机构：

[1] UNIV IOWA,COLL MED,CTR CARDIOVASC,510 MED RES CTR,IOWA CITY,IA 52242

来源：

JMRI-JOURNAL OF MAGNETIC RESONANCE IMAGING | 1993年 / 3卷 / 02期

关键词：

COMPUTERS; DIAGNOSTIC AID; HEART; ANATOMY; MR; VOLUME; IMAGE PROCESSING; VOLUME MEASUREMENT;

D O I：

10.1002/jmri.1880030217

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

The purpose of the present study was to evaluate the robustness of a method of automated border detection in cardiac magnetic resonance (MR) imaging. Thirty-seven short-axis spin-echo cardiac images were acquired from three medical centers, each with its own image-acquisition protocol. Endo- and epicardial borders and areas were derived from these images with a graph-searching-based method of edge detection. Computer results were compared with observer-traced borders. The method accurately defined myocardial borders in 36 of 37 images (97%), with excellent agreement between computer- and observer-derived endocardial and epicardial areas (correlation coefficients, .94-.99). The algorithm worked equally well for data from all three centers, despite differences in image-acquisition protocols, MR systems, and field strengths. These data suggest that a method of computer-assisted edge detection based on graph-searching principles yields endocardial and epicardial areas that correlate well with those derived by an independent observer.

引用

页码：409 / 415

页数：7

共 21 条

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