通过门控心血池断层扫描自动测定左心室射血分数。

Automatic determination of left ventricular ejection fraction from gated blood-pool tomography.

作者信息

Vanhove C, Franken P R, Defrise M, Momen A, Everaert H, Bossuyt A

机构信息

Division of Nuclear Medicine, University Hospital, Free University of Brussels, Brussels, Belgium.

出版信息

J Nucl Med. 2001 Mar;42(3):401-7.

PMID:11337514

Abstract

UNLABELLED

The aim of this study was to develop and validate a new algorithm to automatically compute left ventricular ejection fraction (LVEF) from gated blood-pool tomography (GBPT). The results were compared with those of conventional planar radionuclide angiocardiography (PRNA).

METHODS

Fifty-three consecutive patients received an injection of 740 MBq (99m)Tc-labeled human serum albumin. PRNA and GBPT were performed consecutively in a random sequence. PRNA served as the reference, and GBPT images were processed using a new edge detection algorithm. The algorithm is fast (<45 s), fully automatic, and works in three-dimensional space. The method includes identification of the valve plane and the septum. The left ventricular cavity at end-diastole is delineated by segmentation using an iterative threshold technique. An optimal threshold is reached when the corresponding isocontour best fits the first derivative of the end-diastolic count distribution in three dimensions. This optimal threshold is then applied to delineate the left ventricular cavity on the other time bins. The data are corrected for the partial-volume effect. Left ventricular volumes are determined using a geometry-based method and are used to calculate the ejection fraction.

RESULTS

The success rate of the new algorithm was 94%. LVEFs calculated from GBPT agreed well with those calculated from PRNA (r = 0.78; GBPT = 0.94 PRNA + 6.33). The systematic error was 2.8%, and the random error was 8.8%. Excellent inter- and intraobserver reproducibility was found, with average differences of 1.1% +/- 4.6% and 1.1% +/- 5.0%, respectively, between the two measurements.

CONCLUSION

This new algorithm provides a fast, automated, and objective method to calculate LVEF from GBPT.

摘要

未标注

本研究的目的是开发并验证一种新算法，用于从门控心血池断层扫描（GBPT）自动计算左心室射血分数（LVEF）。将结果与传统平面放射性核素血管造影（PRNA）的结果进行比较。

方法

53例连续患者接受了740MBq（99m）Tc标记的人血清白蛋白注射。PRNA和GBPT以随机顺序连续进行。PRNA作为参考，GBPT图像使用一种新的边缘检测算法进行处理。该算法速度快（<45秒），全自动，且在三维空间中运行。该方法包括识别瓣膜平面和室间隔。舒张末期的左心室腔通过使用迭代阈值技术进行分割来描绘。当相应的等值线在三维空间中最佳拟合舒张末期计数分布的一阶导数时，达到最佳阈值。然后将此最佳阈值应用于描绘其他时间间隔上的左心室腔。数据针对部分容积效应进行校正。使用基于几何的方法确定左心室容积，并用于计算射血分数。