计算机科学 ›› 2019, Vol. 46 ›› Issue (8): 321-326.doi: 10.11896/j.issn.1002-137X.2019.08.053
所属专题: 医学图像
柴锐, 薛凡, 曾建潮, 秦品乐
CHAI Rui, XUE Fan, ZENG Jian-chao, QIN Pin-le
摘要: 目前,临床上肾动态显像评估肾功能的方法过多依赖于手动获取感兴趣区域(Region of Interest,ROI),时间效率较低。针对这一问题,提出一种肾动态显像自动化定量评估的方法。首先,对肾动态显像不同阶段的图像进行预处理;其次,利用改进水平集模型获取肾功能成像中肾脏的ROI,并通过形态学方法得到本底ROI,再对肾血流灌注成像中主动脉的ROI进行定位和获取;最后,结合Gates法计算分肾、总肾的肾小球滤过率(Glomerular Filtration Rate,GFR),根据ROI区域内的放射性计数绘制时间-放射性曲线,实现一体化、自动化的肾功能评估。临床实验结果表明,所提自动化评估方法能够在较短的时间内提升自动化水平,并提高评估精度,该方法可以为临床诊断和辅助治疗提供有效帮助。
中图分类号:
[1]YORUK U,HARGREAVES B A,VASANAWALA S S.Automatic renal segmentation for MR urography using 3D-GrabCut and random forests[J].Magnetic Resonance in Medicine,2018,79(3):1696-1707. [2]TORRES H R,QUEIRÒS S,MORAIS P,et al.Kidney Segmentation in Ultrasound,Magnetic Resonance and Computed Tomography Images:A Systematic Review[J].Computer Methods & Programs in Biomedicine,2018,157:49-67. [3]LJUNGBERG B,BENSALAH K,CANFIELD S,et al.EAU guidelines on renal cell carcinoma:2014 update[J].European Urology,2015,67(5):913-924. [4]TAN H J,NORTON E C,YE Z,et al.Long-term Survival Following Partial vs Radical Nephrectomy Among Older Patients With Early-Stage Kidney Cancer[J].Jama,2012,307(15):1629-1635. [5]GATES G F.Glomerular filtration rate:estimation from fractional renal accumulation of 99mTc-DTPA (stannous)[J].American Journal of Roentgenology,1982,138(3):565-570. [6]GARCIA E V,FOLKS R,PAK S,et al.Totally automatic definition of renal regions of interest from 99mTc-MAG3 renograms:validation in patients with normal kidneys and in patients with suspected renal obstruction[J].Nuclear Medicine Communications,2010,31(5):366-374. [7]TIAN S C,XU L,JIANG H B.A Research on the Automatic ROI Delineate Method of Renal Imaging Based on Morphological Reconstruction and Otsu Thresholding Segmentation[J].China Medical Devices,2016,31(2):44-47.(in Chinese) 田书畅,徐磊,蒋红兵.基于肾动态定量分析中肾脏ROI的自动勾画研究[J].中国医疗设备,2016,31(2):44-47 [8]LANDGREN M,SJÖSTRAND K,OHLSSON M,et al.An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images[C]∥Scandinavian Conference on Image Analysis.Springer-Verlag,2011:489-500. [9]LIU R C,XU L,ZHANG L L.Study of a Novel Automatic Method of ROI Delineation in Renal Dynamic Radionuclide Imaging[J].China Medical Devices,2017,32(12):68-71.(in Chinese) 刘任从,徐磊,张乐乐.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. [10]JIANG G P,QIN W J,ZHOU S J,et al.State-of-the-Art in Medical Image Segmentation[J].Chinese Journal of Compu-ters,2015,38(6):1222-1242.(in Chinese) 江贵平,秦文健,周寿军,等.医学图像分割及其发展现状[J].计算机学报,2015,38(6):1222-1242. [11]WANG X,GUO L,YIN J,et al.Narrowband Chan-Vese model of sonar image segmentation:A adaptive ladder initialization approach[J].Applied Acoustics,2016,113:238-254. [12]ZHANG P,LIANG Y M,CHANG S J,et al.Kidney segmentation in computed tomography sequences based on energy minimization[J].Acta Physica Sinica,2013,62(20):208701.(in Chinese) 张品,梁艳梅,常胜江,等.基于能量最小化的肾脏计算断层扫描图像分割方法[J].物理学报,2013,62(20):208701. [13]SHI Y G,TAN J S,LIU Z W.Renal Cortex Segmentation Using Graph Cuts and Level Sets[J].Computer Science,2016,43(7):290-293.(in Chinese) 时永刚,谭继双,刘志文.基于图割和水平集的肾脏医学图像分割[J].计算机科学,2016,43(7):290-293. [14]QIAN S,WENG G.Medical image segmentation based on FCM and Level Set algorithm[C]∥IEEE International Conference on Software Engineering and Service Science.IEEE,2017:225-228. [15]TIAN C,ZHANG X,HAN Y,et al.A semi-automated region of interest detection method in the scintigraphic glomerular filtration rate determination for patients with abnormal low renal function[J].Clinical Nuclear Medicine,2013,38(11):855-862. [16]LIN K J,HUANG J Y,CHEN Y S.Fully automatic region of interest selection in glomerular filtration rate estimation from 99m tc-dtpa renogram[J].Journal of Digital Imaging,2011,24(6):1010-1023. [17]HUANG C,ZENG L.Level set evolution model for image segmentation based on variable exponent p-Laplace equation[J].Applied Mathematical Modelling,2016,40(17/18):7739-7750. [18]LIU C,LIU W,XING W.An improved edge-based level set method combining local regional fitting information for noisy image segmentation[J].Signal Processing,2017,130:12-21. [19]LI C,XU C,GUI C,et al.Level Set Evolution without Re-Initialization:A New Variational Formulation[C]∥IEEE ComputerSociety Conference on Computer Vision and Pattern Recognition,2005(CVPR 2005).IEEE Xplore,2005:430-436. [20]WANG C Y,ZHAO Y F.Influence of different outlining for region of interest in one kidney with Gates method on glomerular filtration rate of the contralateral kidney[J].Chinese Journal of Nuclear Medicine and Molecular Imaging,2016,36(5):464-465.(in Chinese) 汪长银,赵燕芬.Gates法测肾功能时一侧肾脏感兴趣区勾画面积对另一侧肾小球滤过率的影响[J].中华核医学与分子影像杂志,2016,36(5):464-465. |
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