Comparison between manual and semiautomated analysis of left ventricular volume parameters from short-axis MR images

被引:183
作者
vanderGeest, RJ
Buller, VGM
Jansen, E
Lamb, HJ
Baur, LHB
vanderWall, EE
deRoos, A
Reiber, JHC
机构
[1] LEIDEN UNIV, MED CTR, DEPT RADIOL, NL-2300 RC LEIDEN, NETHERLANDS
[2] LEIDEN UNIV, MED CTR, LAB CLIN & EXPT IMAGE PROC, NL-2300 RC LEIDEN, NETHERLANDS
[3] LEIDEN UNIV, MED CTR, DEPT CARDIOL, NL-2300 RC LEIDEN, NETHERLANDS
[4] INTERUNIV CARDIOL INST NETHERLANDS, UTRECHT, NETHERLANDS
关键词
magnetic resonance imaging; heart; abnormalities; image analysis;
D O I
10.1097/00004728-199709000-00019
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
Purpose: The goal of this study was to evaluate a newly developed semiautomated contour detection algorithm for the quantitative analysis of cardiovascular MRI. Method: Left ventricular function parameters derived from automatically detected endocardial and epicardial contours were compared with results derived from manually traced contours in short-axis multislice GRE MRI studies of 10 normal volunteers and 10 infarct patients. Results: Compared with manual image analysis, the semiautomated method resulted in the following systematic and random differences (auto - manual; mean +/- SD): end-diastolic volume: -5.5 +/- 9.7 ml; end-systolic volume: -3.6+/-6.5 ml; ejection fraction: 1.7 +/- 4.1%; left ventricular mass: 7.3 +/- 20.6 g. Total analysis time for a complete study was reduced from 3-4 h for the manual analysis to <20 min using semiautomated contour detection. Conclusion: Global left ventricular function parameters can be obtained with a high degree of accuracy and precision using the present semiautomated contour detection algorithm.
引用
收藏
页码:756 / 765
页数:10
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