Title
Automated polyp measurement based on colon structure decomposition for CT colonography
Abstract
Accurate assessment of colorectal polyp size is of great significance for early diagnosis and management of colorectal cancers. Due to the complexity of colon structure, polyps with diverse geometric characteristics grow from different landform surfaces. In this paper, we present a new colon decomposition approach for polyp measurement. We first apply an efficient maximum a posteriori expectation-maximization (MAP-EM) partial volume segmentation algorithm to achieve an effective electronic cleansing on colon. The global colon structure is then decomposed into different kinds of morphological shapes, e. g. haustral folds or haustral wall. Meanwhile, the polyp location is identified by an automatic computer aided detection algorithm. By integrating the colon structure decomposition with the computer aided detection system, a patch volume of colon polyps is extracted. Thus, polyp size assessment can be achieved by finding abnormal protrusion on a relative uniform morphological surface from the decomposed colon landform. We evaluated our method via physical phantom and clinical datasets. Experiment results demonstrate the feasibility of our method in consistently quantifying the size of polyp volume and, therefore, facilitating characterizing for clinical management.
Year
DOI
Venue
2014
10.1117/12.2043648
Proceedings of SPIE
Keywords
Field
DocType
CT colonography,polyp size,colon structure decomposition,partial volume segmentation
Computer vision,Segmentation,Computer-aided diagnosis,Imaging phantom,Colon polyps,Artificial intelligence,Colorectal Polyp,Virtual colonoscopy,Colorectal cancer,Partial volume,Physics
Conference
Volume
ISSN
Citations 
9035
0277-786X
0
PageRank 
References 
Authors
0.34
3
7
Name
Order
Citations
PageRank
Huafeng Wang1597.87
lihong c li200.34
Hao Han3817.45
Hao Peng443.45
Bowen Song59611.08
xinzhou wei601.69
Zhengrong Liang768493.03