Improved curvature estimation for shape analysis in computer-aided detection of colonic polyps

Hongbin Zhu; Yi Fan; Zhengrong Liang

doi:10.1007/978-3-642-25719-3_2

Improved curvature estimation for shape analysis in computer-aided detection of colonic polyps

Hongbin Zhu
, Yi Fan
, Zhengrong Liang

Radiology

Stony Brook University

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

7 Scopus citations

Abstract

In current methods of computer-aided detection (CAD) of colonic polyps, curvature-based shape measures, like the shape index, curvedness, sphericity ratio, Gaussian curvature, mean curvature, etc., are widely used to analyze the local shapes in the colon wall. Therefore, the curvature estimation is an essential step, which is often conducted through kernel methods. However, spurious calculations indicating high curvature are frequently observed when the kernel contains two surfaces (this happens for objects like a thin slab, sphere, etc.). In this study, we adapted the Knutsson mapping method to solve this problem, so that we can improve the curvature estimation for CAD of colonic polyps in virtual colonoscopy.

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	9-14
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-642-25719-3_2
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

colonic polyps
computer-aided detection
curvature
Knutsson mapping
shape analysis

Access to Document

10.1007/978-3-642-25719-3_2

Cite this

Zhu, H., Fan, Y., & Liang, Z. (2011). Improved curvature estimation for shape analysis in computer-aided detection of colonic polyps. In Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers (pp. 9-14). (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_2

Zhu, Hongbin ; Fan, Yi ; Liang, Zhengrong. / Improved curvature estimation for shape analysis in computer-aided detection of colonic polyps. Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers. 2011. pp. 9-14 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Improved curvature estimation for shape analysis in computer-aided detection of colonic polyps",

abstract = "In current methods of computer-aided detection (CAD) of colonic polyps, curvature-based shape measures, like the shape index, curvedness, sphericity ratio, Gaussian curvature, mean curvature, etc., are widely used to analyze the local shapes in the colon wall. Therefore, the curvature estimation is an essential step, which is often conducted through kernel methods. However, spurious calculations indicating high curvature are frequently observed when the kernel contains two surfaces (this happens for objects like a thin slab, sphere, etc.). In this study, we adapted the Knutsson mapping method to solve this problem, so that we can improve the curvature estimation for CAD of colonic polyps in virtual colonoscopy.",

keywords = "colonic polyps, computer-aided detection, curvature, Knutsson mapping, shape analysis",

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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",

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Zhu, H, Fan, Y & Liang, Z 2011, Improved curvature estimation for shape analysis in computer-aided detection of colonic polyps. 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. 9-14, 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_2

Improved curvature estimation for shape analysis in computer-aided detection of colonic polyps. / Zhu, Hongbin; Fan, Yi; Liang, Zhengrong.
Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers. 2011. p. 9-14 (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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T1 - Improved curvature estimation for shape analysis in computer-aided detection of colonic polyps

AU - Zhu, Hongbin

AU - Fan, Yi

AU - Liang, Zhengrong

PY - 2011

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N2 - In current methods of computer-aided detection (CAD) of colonic polyps, curvature-based shape measures, like the shape index, curvedness, sphericity ratio, Gaussian curvature, mean curvature, etc., are widely used to analyze the local shapes in the colon wall. Therefore, the curvature estimation is an essential step, which is often conducted through kernel methods. However, spurious calculations indicating high curvature are frequently observed when the kernel contains two surfaces (this happens for objects like a thin slab, sphere, etc.). In this study, we adapted the Knutsson mapping method to solve this problem, so that we can improve the curvature estimation for CAD of colonic polyps in virtual colonoscopy.

AB - In current methods of computer-aided detection (CAD) of colonic polyps, curvature-based shape measures, like the shape index, curvedness, sphericity ratio, Gaussian curvature, mean curvature, etc., are widely used to analyze the local shapes in the colon wall. Therefore, the curvature estimation is an essential step, which is often conducted through kernel methods. However, spurious calculations indicating high curvature are frequently observed when the kernel contains two surfaces (this happens for objects like a thin slab, sphere, etc.). In this study, we adapted the Knutsson mapping method to solve this problem, so that we can improve the curvature estimation for CAD of colonic polyps in virtual colonoscopy.

KW - colonic polyps

KW - computer-aided detection

KW - curvature

KW - Knutsson mapping

KW - shape analysis

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

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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 -

Zhu H, Fan Y, Liang Z. Improved curvature estimation for shape analysis in computer-aided detection of colonic polyps. 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. 9-14. (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_2

Improved curvature estimation for shape analysis in computer-aided detection of colonic polyps

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Keywords

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