Raff U, Vargas P F, Scherzinger A L, Rodriguez L H, Groves B M
University of Colorado Health Sciences Center, Department of Radiology, Denver, USA.
Int J Card Imaging. 1995 Mar;11(1):9-18. doi: 10.1007/BF01148949.
A new technique has been developed to compute left ventricular (LV) time activity curves from gated blood pool (GBP) studies without the use of manual, semiautomated or fully automated edge detection algorithms. The method utilizes the correlation of entropy calculated from the counts of a fixed region of interest covering the left ventricle during a cardiac cycle to compute the LV volume curve for a new patient. The new LV volume curve is obtained through interpolation of those volume curves of a data base which are associated with the closest variations in normalized entropy to the new one. The computed LV time activity curves agree with those obtained from manual or fully automated outlines of the left ventricle within 9 percent for the selected set of 67 patients demonstrating the potential of the method. The accuracy of calculated LV volume curves can be improved theoretically to any degree by increasing the number of cases in the data base of known statistical feature vectors associated with the LV images and LV volume curves. The new method for computation of LV curves is very efficient and robust when compared to traditional techniques.
已经开发出一种新技术，可从门控血池（GBP）研究中计算左心室（LV）时间活动曲线，而无需使用手动、半自动或全自动边缘检测算法。该方法利用在心动周期期间覆盖左心室的固定感兴趣区域的计数计算出的熵的相关性，为新患者计算左心室容积曲线。新的左心室容积曲线是通过对数据库中那些与新曲线归一化熵的最接近变化相关联的容积曲线进行插值得到的。对于选定的67例患者，计算得到的左心室时间活动曲线与通过手动或全自动勾勒左心室轮廓得到的曲线在9%以内相符，证明了该方法的潜力。通过增加与左心室图像和左心室容积曲线相关的已知统计特征向量数据库中的病例数量，理论上可以将计算得到的左心室容积曲线的准确性提高到任何程度。与传统技术相比，计算左心室曲线的新方法非常高效且稳健。
