磁共振图像上的自动心肌边缘检测：连续受试者中的准确性
Automated myocardial edge detection on MR images: accuracy in consecutive subjects.
作者信息
Fleagle S R, Thedens D R, Stanford W, Thompson B H, Weston J M, Patel P P, Skorton D J
机构信息
Department of Internal Medicine, University of Iowa, Iowa City 52242-1182.
出版信息
J Magn Reson Imaging. 1993 Sep-Oct;3(5):738-41. doi: 10.1002/jmri.1880030508.
The authors previously demonstrated the feasibility of graph-searching-based automated edge detection in cardiac magnetic resonance (MR) imaging. To further assess the clinical utility of this method, unselected images from 11 consecutive subjects undergoing clinically indicated (except for one healthy volunteer) short-axis spin-echo MR imaging were analyzed. A total of 142 images from the 11 subjects, encompassing the left ventricle from apex to outflow tract, were analyzed. The computer algorithm correctly identified complete endocardial and epicardial contours in 121 of 142 images (85%). Correlations between observer-traced and computer-derived epicardial areas for all images were good (r = .71 for epicardium, r = .83 for endocardium); they improved for a subset of higher-quality images (r = .82 for epicardium, r = .92 for endocardium). The authors conclude that the current data further support the usefulness of computer digital image processing in geometric analysis of cardiac MR image data.
作者先前已证明在心脏磁共振（MR）成像中基于图形搜索的自动边缘检测的可行性。为了进一步评估该方法的临床实用性，对11例连续接受临床指征（除一名健康志愿者外）短轴自旋回波MR成像的受试者的未筛选图像进行了分析。对这11名受试者的总共142幅图像进行了分析，这些图像涵盖了从心尖到流出道的左心室。计算机算法在142幅图像中的121幅（85%）中正确识别出完整的心内膜和心外膜轮廓。所有图像中观察者描绘的心外膜面积与计算机得出的心外膜面积之间的相关性良好（心外膜r = 0.71，心内膜r = 0.83）；对于更高质量图像的子集，相关性有所改善（心外膜r = 0.82，心内膜r = 0.92）。作者得出结论，当前数据进一步支持计算机数字图像处理在心脏MR图像数据几何分析中的有用性。
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