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Volumetric Detection of Colorectal Lesions for Noncathartic Dual-Energy Computed Tomographic Colonography

机译:用于非传递双能计算机断层监测的结直肠病变的体积检测

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Noncathartic computed tomographic colonography (CTC) could significantly increase patient adherence to colorectal screening guidelines. However, radiologists find the interpretation of noncathartic CTC images challenging. We developed a fully automated computer-aided detection (CAD) scheme for assisting radiologists with noncathartic CTC. A volumetric method is used to detect lesions within a thick target region encompassing the colonic wall. Dual-energy CTC (DE-CTC) is used to provide more detailed information about the colon than what is possible with conventional CTC. Falsepositive detections are reduced by use of a random-forest classifier. The effect of the thickness of the target region on detection performance was assessed by use of 22 clinical noncathartic DE-CTC studies including 27 lesions ≥6 mm. The results indicate that the thickness parameter can have significant effect on detection accuracy. Leave-one-patient-out evaluation indicated that the proposed CAD scheme detects colorectal lesions at high accuracy in noncathartic CTC.
机译:非分类计算断层摄影结肠术(CTC)可以显着增加患者依从性遵守结肠直肠筛查指南。然而,放射科医师发现对非传奇CTC图像挑战的解释。我们开发了一种全自动的计算机辅助检测(CAD)方案,用于辅助NORCATHARARIC CTC的放射科医师。体积方法用于检测包围结肠壁的厚目标区域内的病变。双能CTC(DE-CTC)用于提供关于结肠的更详细信息,而不是传统CTC的信息。通过使用随机林分类器减少了伪结构检测。目标区域厚度对检测性能的影响通过使用22例临床非分类DE-CTC研究评估,包括27个病灶≥6mm。结果表明,厚度参数对检测精度有显着影响。留下一患病评估表明,所提出的CAD方案以高精度检测非诊断CTC的结肠直肠病变。

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