ARG:用于肾脏扫描图像ROI检测的半自动系统

Yassine Aribi, F. Hamza, A. Wali, F. Guermazi, A. Alimi
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引用次数: 2

摘要

在本文中,我们提出了一种半自动的方法来识别动态扫描图像上肾脏(健康和病变)的兴趣区域(ROI)。该方法的触发取决于专家的干预,例如核医学专家。通过参考依赖于梯度直方图计算的自适应阈值,从而准确地检测出感兴趣区域的位置,我们的贡献在这里是显而易见的。自适应阈值将是计算梯度矩阵的直方图的平均值。该方法在临床获得的动态扫描图像上进行了测试,取得了满意的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ARG: A semi-automatic system for ROI detection on Renal Scintigraphic images
In this paper, we propose, a semi-automatic approach for the identification of Regions Of Interest (ROI) of the kidneys (healthy and diseased) on dynamic scintigraphic images. The triggering of the method depend on the intervention of an expert, such as a specialist in nuclear medicine. Our contribution is made obvious here through referring to the adaptive threshold relying on the calculation of the gradients histogram and thus accurately detecting the places of the region of interest. The adaptive threshold will be the average of the histogram of the matrix of the calculated gradients. This approach was tested on dynamic scintigraphic images acquired clinically and satisfactory results are obtained.
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