Automatic procedure to distinguish colonic polyps located on fold vs. not on fold

被引：2

作者：

Franaszek, Marek ^{[1
]}

Summers, Ronald M. ^{[1
]}

Pickhardt, Perry J. ^{[2
]}

Choi, J. Richard ^{[3
]}

机构：

[1] NIH, Ctr Clin, Bethesda, MD 20892 USA

[2] Natl Naval Med Ctr, Bethesda, MD 20892 USA

[3] Walter Reed Army Med Ctr, Washington, DC 20307 USA

来源：

MEDICAL IMAGING 2006: PHYSIOLOGY, FUNCTION, AND STRUCTURE FROM MEDICAL IMAGES PTS 1 AND 2 | 2006年 / 6143卷

基金：

美国国家卫生研究院;

关键词：

CT colonography; CAD; polyp; haustral fold;

D O I：

10.1117/12.653076

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Performance of Computed Tomographic Colonography (CTC) Computer Aided Detection (CTC CAD) depends sensitively on a set of features chosen to characterize a polyp candidate. Most of the features are derived from some shape related characteristics which are calculated at the points located within the boundaries of a polyp candidate. This approach ignores information from the part of the colonic wall stretching beyond the limits of a polyp candidate. We found that almost 90% of small and medium size polyps missed by our CAD program were located on haustral folds. This suggests that two different classifiers (for detections on a fold and not on a fold) could be used which are better tuned to the local characteristics. Therefore, we developed an automated method to verify independently if a given polyp candidate is located on a fold. This is done by checking the intensity profile along normals originating from the points on the colonic wall which are close to but outside of a patch marking a polyp candidate.

引用

页数：10

共 13 条

[1]

*ACS, 2002, CANC FACTS FIG

[2] Candidate determination for computer aided detection of colon polyps [J].