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首页> 外文期刊>Journal of Digital Imaging >Fully Automatic Region of Interest Selection in Glomerular Filtration Rate Estimation from 99mTc-DTPA Renogram
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Fully Automatic Region of Interest Selection in Glomerular Filtration Rate Estimation from 99mTc-DTPA Renogram

机译：99m Tc-DTPA肾图的肾小球滤过率估算中的全自动感兴趣区域选择

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Glomerular filtration rate (GFR) is a common accepted standard estimation of renal function. Gamma camera-based methods for estimating renal uptake of 99mTc-diethylenetriaminepentaacetic acid (DTPA) without blood or urine sampling have been widely used. Of these, the method introduced by Gates has been the most common method. Currently, most of gamma cameras are equipped with a commercial program for GFR determination, a semi-quantitative analysis by manually drawing region of interest (ROI) over each kidney. Then, the GFR value can be computed from the scintigraphic determination of 99mTc-DTPA uptake within the kidney automatically. Delineating the kidney area is difficult when applying a fixed threshold value. Moreover, hand-drawn ROIs are tedious, time consuming, and dependent highly on operator skill. Thus, we developed a fully automatic renal ROI estimation system based on the temporal changes in intensity counts, intensity-pair distribution image contrast enhancement method, adaptive thresholding, and morphological operations that can locate the kidney area and obtain the GFR value from a 99mTc-DTPA renogram. To evaluate the performance of the proposed approach, 30 clinical dynamic renograms were introduced. The fully automatic approach failed in one patient with very poor renal function. Four patients had a unilateral kidney, and the others had bilateral kidneys. The automatic contours from the remaining 54 kidneys were compared with the contours of manual drawing. The 54 kidneys were included for area error and boundary error analyses. There was high correlation between two physicians’ manual contours and the contours obtained by our approach. For area error analysis, the mean true positive area overlap is 91%, the mean false negative is 13.4%, and the mean false positive is 9.3%. The boundary error is 1.6 pixels. The GFR calculated using this automatic computer-aided approach is reproducible and may be applied to help nuclear medicine physicians in clinical practice.
机译：肾小球滤过率（GFR）是肾功能的公认标准估计。不用血液或尿液采样的基于伽马相机的估计 99m Tc-二亚乙基三胺五乙酸（DTPA）肾脏摄取的方法已得到广泛应用。在这些方法中，盖茨介绍的方法是最常用的方法。当前，大多数伽马相机都配备了用于GFR测定的商业程序，该程序是通过手动在每个肾脏上绘制感兴趣区域（ROI）进行的半定量分析。然后，可以根据肾脏中 99m Tc-DTPA摄取的闪烁显像法确定GFR值。当应用固定的阈值时，很难描绘肾脏区域。此外，手绘的ROI繁琐，耗时且高度依赖于操作员的技能。因此，我们基于强度计数的时间变化，强度对分布图像对比度增强方法，自适应阈值和形态学运算开发了一种全自动肾脏ROI估计系统，该系统可以定位肾脏区域并从 99m Tc-DTPA肾图。为了评估所提出方法的性能，引入了30个临床动态肾图。一名肾功能很差的患者使用全自动方法失败。四名患者有单侧肾脏，其他患者则有双侧肾脏。将其余54个肾脏的自动轮廓与手动绘制的轮廓进行比较。包括54个肾脏，用于面积误差和边界误差分析。两位医生的手动轮廓与通过我们的方法获得的轮廓之间存在高度相关性。对于面积误差分析，平均真实阳性面积重叠为91％，平均假阴性为13.4％，平均假阳性为9.3％。边界误差为1.6像素。使用这种自动计算机辅助方法计算的GFR是可重现的，可用于帮助核医学医师进行临床实践。

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