Extraction of landmarks and features from virtual colon models

Krishna Chaitanya Gurijala; Arie Kaufman; Wei Zeng; Xianfeng Gu

doi:10.1007/978-3-642-25719-3_15

Extraction of landmarks and features from virtual colon models

Krishna Chaitanya Gurijala
, Arie Kaufman
, Wei Zeng
, Xianfeng Gu

Computer Science

Stony Brook University

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

Abstract

The colon is a very complicated structure with a large number of distortions and bends. Landmarks and features serve as tools to guide colon flattening and to assist in the study of the colon surface segment by segment. Identification of feature points and landmarks is also useful for the registration of colon surfaces. In this paper, we present methods for identifying the locations of the taeniae coli and the four major flexures which form the prominent anatomic landmarks on the colon surface. The colon surface is cut open along these landmarks, and the segments obtained can be used for study of the surface of the colon. We define new feature points on the flattened colon surfaces and use well-established graph-based algorithms for their detection. We demonstrate the results showing the extracted landmarks and the detected features.

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	105-112
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-25719-3_15
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

flexures
graph-cut
haustral folds
max-flow min-cut
taeniae coli
virtual colonoscopy

Access to Document

10.1007/978-3-642-25719-3_15

Cite this

Gurijala, K. C., Kaufman, A., Zeng, W., & Gu, X. (2011). Extraction of landmarks and features from virtual colon models. In Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers (pp. 105-112). (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_15

Gurijala, Krishna Chaitanya ; Kaufman, Arie ; Zeng, Wei et al. / Extraction of landmarks and features from virtual colon models. Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers. 2011. pp. 105-112 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Extraction of landmarks and features from virtual colon models",

abstract = "The colon is a very complicated structure with a large number of distortions and bends. Landmarks and features serve as tools to guide colon flattening and to assist in the study of the colon surface segment by segment. Identification of feature points and landmarks is also useful for the registration of colon surfaces. In this paper, we present methods for identifying the locations of the taeniae coli and the four major flexures which form the prominent anatomic landmarks on the colon surface. The colon surface is cut open along these landmarks, and the segments obtained can be used for study of the surface of the colon. We define new feature points on the flattened colon surfaces and use well-established graph-based algorithms for their detection. We demonstrate the results showing the extracted landmarks and the detected features.",

keywords = "flexures, graph-cut, haustral folds, max-flow min-cut, taeniae coli, virtual colonoscopy",

author = "Gurijala, \{Krishna Chaitanya\} and Arie Kaufman and Wei Zeng and Xianfeng Gu",

year = "2011",

doi = "10.1007/978-3-642-25719-3\_15",

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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",

}

Gurijala, KC, Kaufman, A, Zeng, W & Gu, X 2011, Extraction of landmarks and features from virtual colon models. 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. 105-112, 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_15

Extraction of landmarks and features from virtual colon models. / Gurijala, Krishna Chaitanya; Kaufman, Arie; Zeng, Wei 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. 105-112 (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

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AU - Gurijala, Krishna Chaitanya

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AU - Zeng, Wei

AU - Gu, Xianfeng

PY - 2011

Y1 - 2011

N2 - The colon is a very complicated structure with a large number of distortions and bends. Landmarks and features serve as tools to guide colon flattening and to assist in the study of the colon surface segment by segment. Identification of feature points and landmarks is also useful for the registration of colon surfaces. In this paper, we present methods for identifying the locations of the taeniae coli and the four major flexures which form the prominent anatomic landmarks on the colon surface. The colon surface is cut open along these landmarks, and the segments obtained can be used for study of the surface of the colon. We define new feature points on the flattened colon surfaces and use well-established graph-based algorithms for their detection. We demonstrate the results showing the extracted landmarks and the detected features.

AB - The colon is a very complicated structure with a large number of distortions and bends. Landmarks and features serve as tools to guide colon flattening and to assist in the study of the colon surface segment by segment. Identification of feature points and landmarks is also useful for the registration of colon surfaces. In this paper, we present methods for identifying the locations of the taeniae coli and the four major flexures which form the prominent anatomic landmarks on the colon surface. The colon surface is cut open along these landmarks, and the segments obtained can be used for study of the surface of the colon. We define new feature points on the flattened colon surfaces and use well-established graph-based algorithms for their detection. We demonstrate the results showing the extracted landmarks and the detected features.

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KW - graph-cut

KW - haustral folds

KW - max-flow min-cut

KW - taeniae coli

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DO - 10.1007/978-3-642-25719-3_15

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AN - SCOPUS:83755220810

SN - 9783642257186

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

SP - 105

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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 -

Gurijala KC, Kaufman A, Zeng W, Gu X. Extraction of landmarks and features from virtual colon models. 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. 105-112. (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_15

Extraction of landmarks and features from virtual colon models

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Keywords

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