Automatic Colonic Polyp Detection by the Mapping Using Regional Unit Sphere

Mira Park, Jesse S. Jin, R. Hofstetter, Min Xu, B. Kang
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引用次数: 3

Abstract

Colonic polyps appear like elliptical protrusions on the inner wall of the colon. The many proposed algorithms assumed the shape of a polyp as a spherical cap, so the algorithms are not flexible when the polyps are irregular shapes. In this paper, we propose a mapping using regional unit sphere (MuRUS) method to overcome the problem caused by unexpected polyp shapes. The MuRUS has shape invariant and size invariant properties. Our method was applied to colon CT images from 3 7 patients each having a prone and supine scan. There are 45 colonscopically confirmed polyps. The results obtained by our algorithm were compared with those gold standards. 100% of polyps >= 10 mm in diameter were detected, 90% of polyps >= 6 mm in diameter were detected and 70% of polyps < 6 mm in diameter were detected at 7.0 FPs per patient.
基于区域单位球映射的结肠息肉自动检测
结肠息肉在结肠内壁上表现为椭圆形的突出物。许多算法假设息肉的形状为球形,因此当息肉形状不规则时,算法不灵活。在本文中,我们提出了一种使用区域单位球(MuRUS)的映射方法来克服由于息肉形状异常引起的问题。MuRUS具有形状不变性和大小不变性。我们的方法应用于37例患者的结肠CT图像,每个患者都有俯卧位和仰卧位扫描。结肠镜检查证实有45例息肉。将所得结果与金标准进行了比较。在7.0 FPs /例的检测下,直径>= 10 mm的息肉检出率100%,直径>= 6 mm的息肉检出率90%,直径< 6 mm的息肉检出率70%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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