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Identification of intestinal wall abnormalities and ischemia by modeling spatial uncertainty in computed tomography imaging findings

机译:通过对计算机断层扫描成像结果中的空间不确定性进行建模来识别肠壁异常和局部缺血

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摘要

Intestinal abnormalities and ischemia are medical conditions in which inflammation and injury of the intestine are caused by inadequate blood supply. Acute ischemia of the small bowel can be life-threatening. Computed tomography (CT) is currently a gold standard for the diagnosis of acute intestinal ischemia in the emergency department. However, the assessment of the diagnostic performance of CT findings in the detection of intestinal abnormalities and ischemia has been a difficult task for both radiologists and surgeons. Little effort has been found in developing computerized systems for the automated identification of these types of complex gastrointestinal disorders. In this paper, a geostatistical mapping of spatial uncertainty in CT scans is introduced for medical image feature extraction, which can be effectively applied for diagnostic detection of intestinal abnormalities and ischemia from control patterns. Experimental results obtained from the analysis of clinical data suggest the usefulness of the proposed uncertainty mapping model.
机译:肠道异常和局部缺血是其中血液供应不足引起的炎症和肠损伤的医学疾病。小肠的急性缺血可能危及生命。目前,计算机断层扫描(CT)是诊断急诊科急性肠缺血的金标准。然而,对于放射线医师和外科医生而言,评估CT表现在检测肠道异常和局部缺血中的诊断性能一直是一项艰巨的任务。在开发用于自动识别这些类型的复杂胃肠道疾病的计算机系统方面,几乎没有发现任何努力。在本文中,引入了CT扫描中空间不确定性的地统计学映射,以用于医学图像特征提取,该方法可有效地用于从控制模式诊断检测肠异常和局部缺血。从临床数据分析获得的实验结果表明,提出的不确定度映射模型很有用。

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