基于肾动态定量分析中肾脏ROI的自动勾画研究
发布时间：2018-07-23 12:19
【摘要】：目的探讨一种基于形态学重建和阈值分割运算的SPECT肾脏图像感兴趣区(ROI)自动勾画方法。方法首先对SPECT肾动态显像图像进行预处理,提升图像的对比度,再对其进行形态学重构,接着用阈值分割算法识别出肾脏,最后通过边界跟踪实现肾脏ROI区的自动勾画。结果使用该图像处理及分割算法实现的ROI自动勾画,相比人工辅助勾画,具有更高的准确性。结论本文运用的形态学重建法和最大类间方差法,有较好的鲁棒性,可以更准确地计算肾小球滤过率,改善了现有Matlab肾动态定量分析软件中ROI勾画不准确的情况,有助于进一步定量分析。
[Abstract]:Objective to study an automatic (ROI) mapping method for SPECT kidney image based on morphological reconstruction and threshold segmentation. Methods the SPECT renal dynamic imaging image was preprocessed to enhance the contrast of the image and then reconstructed by morphology. Then the kidney was identified by threshold segmentation algorithm. Finally, the ROI region of the kidney was automatically delineated by boundary tracking. Results the ROI automatic sketch realized by this image processing and segmentation algorithm is more accurate than that of artificial aided sketch. Conclusion the morphological reconstruction method and the maximum inter-class variance method used in this paper have better robustness, can more accurately calculate the glomerular filtration rate, and improve the inaccurate ROI description in the existing Matlab renal dynamic quantitative analysis software. It is helpful for further quantitative analysis.
【作者单位】： 南京医科大学附属南京医院医疗设备处;
【基金】：南京市医学发展基金“青年工程”人才培养专项经费资助项目(QRX11033)
【分类号】：R817.4;TP391.41
，
本文编号：2139397
[Abstract]:Objective to study an automatic (ROI) mapping method for SPECT kidney image based on morphological reconstruction and threshold segmentation. Methods the SPECT renal dynamic imaging image was preprocessed to enhance the contrast of the image and then reconstructed by morphology. Then the kidney was identified by threshold segmentation algorithm. Finally, the ROI region of the kidney was automatically delineated by boundary tracking. Results the ROI automatic sketch realized by this image processing and segmentation algorithm is more accurate than that of artificial aided sketch. Conclusion the morphological reconstruction method and the maximum inter-class variance method used in this paper have better robustness, can more accurately calculate the glomerular filtration rate, and improve the inaccurate ROI description in the existing Matlab renal dynamic quantitative analysis software. It is helpful for further quantitative analysis.
【作者单位】： 南京医科大学附属南京医院医疗设备处;
【基金】：南京市医学发展基金“青年工程”人才培养专项经费资助项目(QRX11033)
【分类号】：R817.4;TP391.41
，
本文编号：2139397
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