Literature DB >> 21224170

Registration under topological change for CT colonography.

Jung W Suh1, Christopher L Wyatt.   

Abstract

Computed tomography (CT) colonography is a minimally invasive screening technique for colorectal polyps, in which X-ray CT images of the distended colon are acquired, usually in the prone and supine positions of a single patient. Registration of segmented colon images from both positions will be useful for computer-assisted polyp detection. We have previously presented algorithms for registration of the prone and supine colons when both are well distended and there is a single connected lumen. However, due to inadequate bowel preparation or peristalsis, there may be collapsed segments in one or both of the colon images resulting in a topological change in the images. Such changes make deformable registration of the colon images difficult, and at present, there are no registration algorithms that can accommodate them. In this paper, we present an algorithm that can perform volume registration of prone/supine colon images in the presence of a topological change. For this purpose, 3-D volume images are embedded as a manifold in a 4-D space, and the manifold is evolved for nonrigid registration. Experiments using data from 24 patients show that the proposed method achieves good registration results in both the shape alignment of topologically different colon images from a single patient and the polyp location estimation between supine and prone colon images.
© 2011 IEEE

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Year:  2011        PMID: 21224170     DOI: 10.1109/TBME.2011.2105267

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  2 in total

1.  Matching 3-D prone and supine CT colonography scans using graphs.

Authors:  Shijun Wang; Nicholas Petrick; Robert L Van Uitert; Senthil Periaswamy; Zhuoshi Wei; Ronald M Summers
Journal:  IEEE Trans Inf Technol Biomed       Date:  2012-04-27

2.  Predicting polyp location on optical colonoscopy from CT colonography by minimal-energy curve modeling of the colonoscope path.

Authors:  Jiamin Liu; Kevin W Chang; Jianhua Yao; Ronald M Summers
Journal:  IEEE Trans Biomed Eng       Date:  2012-09-28       Impact factor: 4.538

  2 in total

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