Abstract：Objective This paper aims to propose a novel method of ROI extraction which was used in renal dynamic imaging.
Methods A total of 30 clinical dynamic renograms were introduced. The renal image was initially performed by morphological
reconstruction followed by intensity-pair and Gaussian smoothing filter, which could sharpen the edge of kidney and suppress the
noise. Then, adaptive Otsu threshold method was applied to segment the rough renal area. Finally, the morphological operation and
boundary tracking were adopted to remove the irrelevant parts and extract the contour of renal. Results There was high correlation
between physicians’ manual contours and these by our approach. For area error analysis, the mean true positive area overlap,
the mean false negative, the mean false positive and the boundary error were 91%, 13.4%, 9.3% and 1.6 pixels, respectively.
Our approach acquired larger Dice index (0.9061±0.0196) and lower computing time (2.1477±0.2835) s than other methods.
Conclusion The proposed method is a feasible approach for ROI extraction in renal dynamic imaging, which can obtain more
efficient, accurate and robust results.
刘任从，徐磊，张乐乐，孟庆乐，杨瑞，王自正. 核素肾动态显像肾脏感兴趣区域分割算法的研究[J]. 中国医疗设备, 2017, 32(12): 68-71.
LIU Rencong, XU Lei, ZHANG Lele, MENG Qingle, YANG Rui, WANG Zizheng. Study of a Novel Automatic Method of ROI Delineation in Renal Dynamic Radionuclide Imaging. China Medical Devices, 2017, 32(12): 68-71.
