Automated quantification of myocardial infarction from MR images by accounting for partial volume effects:: Animal, phantom, and human study
Automated quantification of myocardial infarction from MR images by accounting for partial volume effects:: Animal, phantom, and human study
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DOI：
10.1148/radiol.2461062164
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发表时间：
2008-02-01
期刊：
影响因子：
19.7
通讯作者：
Arheden, Hakan
中科院分区：
文献类型：
--
作者：
Heiberg, Einar;Ugander, Martin;Arheden, Hakan
伦理委员会批准了人类和动物研究组成部分;提供了知情同意书（前瞻性人类研究[20名男性;肉龄，62岁]）或放弃（回顾性人类研究[16名男性，4名女性;平均年龄，59岁]）。本研究的目的是前瞻性评价一种临床适用的方法，考虑部分容积效应，自动量化延迟造影剂增强磁共振图像中的心肌梗死。像素根据信号强度加权。以计算每个像素的梗塞分数。平均偏倚+/-变异性（或标准差），表示为左心室心肌百分比（%LVM）;分别为-0.3 +/- 1.3（动物）、-1.2 +/- 1.7（幻影）和0.3 +/- 2.7（患者）。算法的变异性低于二分法（2.7 vs 7.7%LVM，P <0.01），与观察者间偏倚（P = 0.31）或变异性（P = 0.38）的变异性没有差异。加权方法提供了心肌梗死的自动量化，与二分算法相比具有更高的准确性和更低的变异性。(C)RSNA，2007年。
Ethics committees approved human and animal study components; informed written consent, was provided (prospective human study [20 men; meaty age, 62 years]) or waived (retrospective human study [16 men, four women; mean age, 59 years]). The purpose of this study was to prospectively evaluate a clinically applicable method, accounting for the partial volume effect, to automatically quantify myocardial infarction from delayed contrast material-enhanced magnetic resonance images. Pixels were weighted according to signal intensity. to calculate infarct fraction for each pixel. Mean bias +/- variability (or standard deviation), expressed as,percentage left ventricular myocardium (%LVM); were -0.3 +/- 1.3 (animals), -1.2 +/- 1.7 (phantoms), and 0.3 +/- 2.7 (patients), respectively. Algorithm had lower variability than dichotomous approach (2.7 vs 7.7 %LVM, P < .01) and did not differ from interobserver variability for bias (P = .31) or variability (P = .38). The weighted approach provides automatic quantification of myocardial infarction with higher accuracy and lower variability than a dichotomous algorithm. (C) RSNA, 2007.