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半自动肾脏感兴趣区域选择方法:在犬模型中的验证

Semiautomated renal region-of-interest selection method: validation in a dog model.

作者信息

Hornof W J, Cowgill L D, Conrad G R, Fisher P

机构信息

Department of Radiological Sciences, School of Veterinary Medicine, University of California, Davis 95616.

出版信息

Am J Physiol Imaging. 1988;3(3):133-8.

PMID:3056464
Abstract

A successful method of automated region-of-interest (ROI) selection by polar edge search for use in technetium-99m-diethylenetriaminepentacetate (99mTc-DTPA) renography is presented in a dog model. The accuracy of the resultant ROI was tested by comparing renal uptake within the ROI to simultaneously monitored arterial 99mTc-DTPA concentration. The automatically selected ROI resulted in renal uptake curves that better matched arterial clearance than either systematically larger and smaller ROIs or a manually chosen ROI.

摘要

在犬模型中展示了一种通过极边搜索自动选择感兴趣区域(ROI)的成功方法,用于锝-99m-二乙三胺五乙酸(99mTc-DTPA)肾动态显像。通过将ROI内的肾脏摄取与同时监测的动脉99mTc-DTPA浓度进行比较,测试了所得ROI的准确性。自动选择的ROI所得到的肾脏摄取曲线比系统选择的更大或更小的ROI以及手动选择的ROI与动脉清除率的匹配度更高。

相似文献

1
Semiautomated renal region-of-interest selection method: validation in a dog model.半自动肾脏感兴趣区域选择方法:在犬模型中的验证
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2
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