Haustral fold segmentation of CT colonography using ridge line detection

Hongbin Zhu; Lihong Li; Yi Fan; Zhengrong Liang

doi:10.1007/978-3-642-25719-3_4

Haustral fold segmentation of CT colonography using ridge line detection

Hongbin Zhu
, Lihong Li
, Yi Fan
, Zhengrong Liang

Radiology

Stony Brook University
City University of New York

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

1 Scopus citations

Abstract

In computed tomographic colonography, colonic/haustral folds often serve as important anatomic landmarks for various tasks, such as virtual endoscopic navigation, tenia coli extraction, prone/supine registration, and polyp matching. In this paper, we present an automatic fold segmentation method based on the negative ridge line detection method. Because haustral folds meet the normal colon wall at negative ridge lines, automatic fold segmentation can be achieved by taking the negative ridge lines as fold boundaries. Preliminary results on patient data are very promising.

Original language	English
Title of host publication	Virtual Colonoscopy and Abdominal Imaging
Subtitle of host publication	Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers
Pages	24-31
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-25719-3_4
State	Published - 2011
Event	2nd Int.Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, Held in Conjunction with the 13th Int.Conf. on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010 - Beijing, China Duration: Sep 20 2010 → Sep 20 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6668 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd Int.Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, Held in Conjunction with the 13th Int.Conf. on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
Country/Territory	China
City	Beijing
Period	09/20/10 → 09/20/10

Keywords

CT colonography
differential properties
haustral fold detection
ridge line
triangle mesh

Access to Document

10.1007/978-3-642-25719-3_4

Cite this

Zhu, H., Li, L., Fan, Y., & Liang, Z. (2011). Haustral fold segmentation of CT colonography using ridge line detection. In Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers (pp. 24-31). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6668 LNCS). https://doi.org/10.1007/978-3-642-25719-3_4

Zhu, Hongbin ; Li, Lihong ; Fan, Yi et al. / Haustral fold segmentation of CT colonography using ridge line detection. Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers. 2011. pp. 24-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{c858128cc70148deaa1cd97360c77f2c,

title = "Haustral fold segmentation of CT colonography using ridge line detection",

abstract = "In computed tomographic colonography, colonic/haustral folds often serve as important anatomic landmarks for various tasks, such as virtual endoscopic navigation, tenia coli extraction, prone/supine registration, and polyp matching. In this paper, we present an automatic fold segmentation method based on the negative ridge line detection method. Because haustral folds meet the normal colon wall at negative ridge lines, automatic fold segmentation can be achieved by taking the negative ridge lines as fold boundaries. Preliminary results on patient data are very promising.",

keywords = "CT colonography, differential properties, haustral fold detection, ridge line, triangle mesh",

author = "Hongbin Zhu and Lihong Li and Yi Fan and Zhengrong Liang",

year = "2011",

doi = "10.1007/978-3-642-25719-3\_4",

language = "English",

isbn = "9783642257186",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "24--31",

booktitle = "Virtual Colonoscopy and Abdominal Imaging",

note = "2nd Int.Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, Held in Conjunction with the 13th Int.Conf. on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010 ; Conference date: 20-09-2010 Through 20-09-2010",

}

Zhu, H, Li, L, Fan, Y & Liang, Z 2011, Haustral fold segmentation of CT colonography using ridge line detection. in Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6668 LNCS, pp. 24-31, 2nd Int.Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, Held in Conjunction with the 13th Int.Conf. on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, Beijing, China, 09/20/10. https://doi.org/10.1007/978-3-642-25719-3_4

Haustral fold segmentation of CT colonography using ridge line detection. / Zhu, Hongbin; Li, Lihong; Fan, Yi et al.
Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers. 2011. p. 24-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6668 LNCS).

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

TY - GEN

T1 - Haustral fold segmentation of CT colonography using ridge line detection

AU - Zhu, Hongbin

AU - Li, Lihong

AU - Fan, Yi

AU - Liang, Zhengrong

PY - 2011

Y1 - 2011

N2 - In computed tomographic colonography, colonic/haustral folds often serve as important anatomic landmarks for various tasks, such as virtual endoscopic navigation, tenia coli extraction, prone/supine registration, and polyp matching. In this paper, we present an automatic fold segmentation method based on the negative ridge line detection method. Because haustral folds meet the normal colon wall at negative ridge lines, automatic fold segmentation can be achieved by taking the negative ridge lines as fold boundaries. Preliminary results on patient data are very promising.

AB - In computed tomographic colonography, colonic/haustral folds often serve as important anatomic landmarks for various tasks, such as virtual endoscopic navigation, tenia coli extraction, prone/supine registration, and polyp matching. In this paper, we present an automatic fold segmentation method based on the negative ridge line detection method. Because haustral folds meet the normal colon wall at negative ridge lines, automatic fold segmentation can be achieved by taking the negative ridge lines as fold boundaries. Preliminary results on patient data are very promising.

KW - CT colonography

KW - differential properties

KW - haustral fold detection

KW - ridge line

KW - triangle mesh

UR - https://www.scopus.com/pages/publications/83755206153

U2 - 10.1007/978-3-642-25719-3_4

DO - 10.1007/978-3-642-25719-3_4

M3 - Conference contribution

AN - SCOPUS:83755206153

SN - 9783642257186

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

SP - 24

EP - 31

BT - Virtual Colonoscopy and Abdominal Imaging

T2 - 2nd Int.Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, Held in Conjunction with the 13th Int.Conf. on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010

Y2 - 20 September 2010 through 20 September 2010

ER -

Zhu H, Li L, Fan Y, Liang Z. Haustral fold segmentation of CT colonography using ridge line detection. In Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers. 2011. p. 24-31. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-25719-3_4

Haustral fold segmentation of CT colonography using ridge line detection

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Keywords

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