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Segmentation of acute pyelonephritis area on kidney SPECT images using binary shape analysis

机译:使用二元形状分析的肾SPECT图像上急性肾盂肾炎的分割

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Acute pyelonephritis is a serious disease in children that may result in irreversible renal scarring. The ability to localize the site of urinary tract infection and the extent of acute pyelonephritis has considerable clinical importance. In this paper, we are devoted to segment the acute pyelonephritis area from kidney SPECT images. A two-step algorithm is proposed. First, the original images are translated into binary versions by automatic thresholding. Then the acute pyelonephritis areas are located by finding convex deficiencies in the obtained binary images. This work gives important diagnosis information for physicians and improves the quality of medical care for children acute pyelonephritis disease.
机译:急性肾盂肾炎是可能导致不可逆的肾脏疤痕的严重疾病。能力本地化尿路感染的遗址以及急性肾盂肾炎的程度具有相当大的临床重要性。在本文中,我们致力于将肾脏SPECT图像分段为急性肾盂肾炎面积。提出了一种两步算法。首先,原始图像通过自动阈值处理转换为二进制版本。然后通过在所获得的二进制图像中找到凸起缺陷来定位急性肾盂肾炎区域。这项工作为医生提供了重要的诊断信息,提高了儿童急性肾盂肾炎的医疗保健质量。

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