Jing Xueping, Zheng Xiujuan, Song Shaoli, Liu Kai
Department of Automation, School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, P.R.China.
Department of Automation, School of Electrical Engineering and Information, Sichuan University, Chengdu 610065,
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2017 Dec 1;34(6):928-933. doi: 10.7507/1001-5515.201611038.
Glomerular filtration rate (GFR), which can be estimated by Gates method with dynamic kidney single photon emission computed tomography (SPECT) imaging, is a key indicator of renal function. In this paper, an automatic computer tomography (CT)-assisted detection method of kidney region of interest (ROI) is proposed to achieve the objective and accurate GFR calculation. In this method, the CT coronal projection image and the enhanced SPECT synthetic image are firstly generated and registered together. Then, the kidney ROIs are delineated using a modified level set algorithm. Meanwhile, the background ROIs are also obtained based on the kidney ROIs. Finally, the value of GFR is calculated via Gates method. Comparing with the clinical data, the GFR values estimated by the proposed method were consistent with the clinical reports. This automatic method can improve the accuracy and stability of kidney ROI detection for GFR calculation, especially when the kidney function has been severely damaged.
肾小球滤过率(GFR)是肾功能的关键指标,可通过动态肾脏单光子发射计算机断层扫描(SPECT)成像的盖茨方法进行估算。本文提出了一种自动计算机断层扫描(CT)辅助的肾脏感兴趣区域(ROI)检测方法,以实现客观准确的GFR计算。在该方法中,首先生成CT冠状投影图像和增强型SPECT合成图像并进行配准。然后,使用改进的水平集算法勾勒出肾脏ROI。同时,也基于肾脏ROI获得背景ROI。最后,通过盖茨方法计算GFR值。与临床数据相比,该方法估算的GFR值与临床报告一致。这种自动方法可以提高用于GFR计算的肾脏ROI检测的准确性和稳定性,尤其是在肾功能严重受损时。