A novel approach on the colon wall segmentation and its’ application

Huafeng Wang; Wenfeng Song; Lihong Li; Yuan Cao; Haixia Pan; Ming Ma; Jiang Huang; Guangming Mao; Zhengrong Liang

doi:10.1007/978-3-319-13410-9_4

A novel approach on the colon wall segmentation and its’ application

Huafeng Wang
, Wenfeng Song
, Lihong Li
, Yuan Cao
, Haixia Pan
, Ming Ma
, Jiang Huang
, Guangming Mao
, Zhengrong Liang

Radiology

Beihang University
Stony Brook University
City University of New York
Civil Aviation Medicine Institute, Civil Aviation Medicine Center (Civil Aviation General Hospital)

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

To measure the thickness of the colon is of much significance for colonic polyps detection in computed tomographic colonography (CTC). For achieving this target, to extract the boundary of both inner and outer colon wall accurately will be the prime task. However, the low contrast of CT attenuation values between colon wall and the surrounding tissues limits many traditional algorithms to achieve this task. Current research work has been exploiting two steps for segmenting inner and outer colon wall: (1) Finding the inner colon wall; and (2) applying geodesic active contour (GAC) based level set to extract outer boundary of colon wall. However, when sticking presents between two colon walls, the task turns to be much more complicated and the threshold level set segmentation method may fail in this situation. In view of this, we present a minimum surface overlay model to extract the inner wall in this paper. Combined with the superposition model, we are able to depict the outer wall of colon in a natural way. We validated the proposed algorithm based on 60 CTC datasets. Compared with the GAC model, the new presented method is more reliable for the colon wall segmentation. Additionally, the application for the wall thickness also provided us with any hints on the colonic polyps detection.

Original language	English
Title of host publication	Computer-Assisted and Robotic Endoscopy - 1st International Workshop, CARE 2014 held in Conjunction with MICCAI 2014, Revised Selected Papers
Editors	Xiongbiao Luo, Timothy Soper, Tobias Reichl, Daniel Mirota
Publisher	Springer Verlag
Pages	34-45
Number of pages	12
ISBN (Electronic)	9783319134093
DOIs	https://doi.org/10.1007/978-3-319-13410-9_4
State	Published - 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8899
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Colonic wall
Computed tomography colonography (CTC)
Levelset
Minimum surface overlay model
Thickness measure

Access to Document

10.1007/978-3-319-13410-9_4

Cite this

Wang, H., Song, W., Li, L., Cao, Y., Pan, H., Ma, M., Huang, J., Mao, G., & Liang, Z. (2014). A novel approach on the colon wall segmentation and its’ application. In X. Luo, T. Soper, T. Reichl, & D. Mirota (Eds.), Computer-Assisted and Robotic Endoscopy - 1st International Workshop, CARE 2014 held in Conjunction with MICCAI 2014, Revised Selected Papers (pp. 34-45). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8899). Springer Verlag. https://doi.org/10.1007/978-3-319-13410-9_4

Wang, Huafeng ; Song, Wenfeng ; Li, Lihong et al. / A novel approach on the colon wall segmentation and its’ application. Computer-Assisted and Robotic Endoscopy - 1st International Workshop, CARE 2014 held in Conjunction with MICCAI 2014, Revised Selected Papers. editor / Xiongbiao Luo ; Timothy Soper ; Tobias Reichl ; Daniel Mirota. Springer Verlag, 2014. pp. 34-45 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A novel approach on the colon wall segmentation and its{\textquoteright} application",

abstract = "To measure the thickness of the colon is of much significance for colonic polyps detection in computed tomographic colonography (CTC). For achieving this target, to extract the boundary of both inner and outer colon wall accurately will be the prime task. However, the low contrast of CT attenuation values between colon wall and the surrounding tissues limits many traditional algorithms to achieve this task. Current research work has been exploiting two steps for segmenting inner and outer colon wall: (1) Finding the inner colon wall; and (2) applying geodesic active contour (GAC) based level set to extract outer boundary of colon wall. However, when sticking presents between two colon walls, the task turns to be much more complicated and the threshold level set segmentation method may fail in this situation. In view of this, we present a minimum surface overlay model to extract the inner wall in this paper. Combined with the superposition model, we are able to depict the outer wall of colon in a natural way. We validated the proposed algorithm based on 60 CTC datasets. Compared with the GAC model, the new presented method is more reliable for the colon wall segmentation. Additionally, the application for the wall thickness also provided us with any hints on the colonic polyps detection.",

keywords = "Colonic wall, Computed tomography colonography (CTC), Levelset, Minimum surface overlay model, Thickness measure",

author = "Huafeng Wang and Wenfeng Song and Lihong Li and Yuan Cao and Haixia Pan and Ming Ma and Jiang Huang and Guangming Mao and Zhengrong Liang",

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Wang, H, Song, W, Li, L, Cao, Y, Pan, H, Ma, M, Huang, J, Mao, G & Liang, Z 2014, A novel approach on the colon wall segmentation and its’ application. in X Luo, T Soper, T Reichl & D Mirota (eds), Computer-Assisted and Robotic Endoscopy - 1st International Workshop, CARE 2014 held in Conjunction with MICCAI 2014, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8899, Springer Verlag, pp. 34-45. https://doi.org/10.1007/978-3-319-13410-9_4

A novel approach on the colon wall segmentation and its’ application. / Wang, Huafeng; Song, Wenfeng; Li, Lihong et al.
Computer-Assisted and Robotic Endoscopy - 1st International Workshop, CARE 2014 held in Conjunction with MICCAI 2014, Revised Selected Papers. ed. / Xiongbiao Luo; Timothy Soper; Tobias Reichl; Daniel Mirota. Springer Verlag, 2014. p. 34-45 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8899).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - A novel approach on the colon wall segmentation and its’ application

AU - Wang, Huafeng

AU - Song, Wenfeng

AU - Li, Lihong

AU - Cao, Yuan

AU - Pan, Haixia

AU - Ma, Ming

AU - Huang, Jiang

AU - Mao, Guangming

AU - Liang, Zhengrong

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2014.

PY - 2014

Y1 - 2014

N2 - To measure the thickness of the colon is of much significance for colonic polyps detection in computed tomographic colonography (CTC). For achieving this target, to extract the boundary of both inner and outer colon wall accurately will be the prime task. However, the low contrast of CT attenuation values between colon wall and the surrounding tissues limits many traditional algorithms to achieve this task. Current research work has been exploiting two steps for segmenting inner and outer colon wall: (1) Finding the inner colon wall; and (2) applying geodesic active contour (GAC) based level set to extract outer boundary of colon wall. However, when sticking presents between two colon walls, the task turns to be much more complicated and the threshold level set segmentation method may fail in this situation. In view of this, we present a minimum surface overlay model to extract the inner wall in this paper. Combined with the superposition model, we are able to depict the outer wall of colon in a natural way. We validated the proposed algorithm based on 60 CTC datasets. Compared with the GAC model, the new presented method is more reliable for the colon wall segmentation. Additionally, the application for the wall thickness also provided us with any hints on the colonic polyps detection.

AB - To measure the thickness of the colon is of much significance for colonic polyps detection in computed tomographic colonography (CTC). For achieving this target, to extract the boundary of both inner and outer colon wall accurately will be the prime task. However, the low contrast of CT attenuation values between colon wall and the surrounding tissues limits many traditional algorithms to achieve this task. Current research work has been exploiting two steps for segmenting inner and outer colon wall: (1) Finding the inner colon wall; and (2) applying geodesic active contour (GAC) based level set to extract outer boundary of colon wall. However, when sticking presents between two colon walls, the task turns to be much more complicated and the threshold level set segmentation method may fail in this situation. In view of this, we present a minimum surface overlay model to extract the inner wall in this paper. Combined with the superposition model, we are able to depict the outer wall of colon in a natural way. We validated the proposed algorithm based on 60 CTC datasets. Compared with the GAC model, the new presented method is more reliable for the colon wall segmentation. Additionally, the application for the wall thickness also provided us with any hints on the colonic polyps detection.

KW - Colonic wall

KW - Computed tomography colonography (CTC)

KW - Levelset

KW - Minimum surface overlay model

KW - Thickness measure

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U2 - 10.1007/978-3-319-13410-9_4

DO - 10.1007/978-3-319-13410-9_4

M3 - Chapter

AN - SCOPUS:84912127264

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 34

EP - 45

BT - Computer-Assisted and Robotic Endoscopy - 1st International Workshop, CARE 2014 held in Conjunction with MICCAI 2014, Revised Selected Papers

A2 - Luo, Xiongbiao

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PB - Springer Verlag

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Wang H, Song W, Li L, Cao Y, Pan H, Ma M et al. A novel approach on the colon wall segmentation and its’ application. In Luo X, Soper T, Reichl T, Mirota D, editors, Computer-Assisted and Robotic Endoscopy - 1st International Workshop, CARE 2014 held in Conjunction with MICCAI 2014, Revised Selected Papers. Springer Verlag. 2014. p. 34-45. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-13410-9_4

A novel approach on the colon wall segmentation and its’ application

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