3D shape analysis for liver-gallbladder anatomical structure retrieval

Weimin Huang; Wei Xiong; Jiayin Zhou; Jing Zhang; Tao Yang; Jiang Liu; Yi Su; Calvin Lim; Chee Kong Chui; Stephen Chang

doi:10.1007/978-3-642-33612-6_19

3D shape analysis for liver-gallbladder anatomical structure retrieval

Weimin Huang^*
, Wei Xiong
, Jiayin Zhou
, Jing Zhang
, Tao Yang
, Jiang Liu
, Yi Su
, Calvin Lim
, Chee Kong Chui
, Stephen Chang

^*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Anatomical structure is important for medical education and disease diagnosis. In the application of surgical simulation, different anatomical structures can be retrieved to create variety of surgical scenarios for training, while similar structures can also be retrieved to assist disease diagnosis. This paper presents an approach to liver-gallbladder anatomical structure retrieval with 3D shape comparison, where the direct shape comparison based on dense shape registration is applied to liver shape due to its shape complexity, and feature based comparison is applied to gallbladder shape with a semantic shape decomposition using the saliency area based on multi-scale curvatures and concavity. After the registration of liver models, the geometric structure of the gallbladder and liver can be combined for joint comparison. With the 3D models constructed from a set of liver-gallbladder CT data, experiments are conducted for joint liver-gallbladder retrieval. Encouraging result shows that it can reveal important topology based on similarity and variance of 3D shapes and has a similar performance compared to that of manual retrieval by human operators.

Original language	English
Title of host publication	Abdominal Imaging
Subtitle of host publication	Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings
Pages	178-187
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-33612-6_19
Publication status	Published - 2012
Externally published	Yes
Event	4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 - Nice, France Duration: 1 Oct 2012 → 1 Oct 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7601 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012
Country/Territory	France
City	Nice
Period	1/10/12 → 1/10/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Free Keywords

Anatomical structure
shape analysis
shape comparison
surgical simulation

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-33612-6_19

Cite this

Huang, W., Xiong, W., Zhou, J., Zhang, J., Yang, T., Liu, J., Su, Y., Lim, C., Chui, C. K., & Chang, S. (2012). 3D shape analysis for liver-gallbladder anatomical structure retrieval. In Abdominal Imaging: Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings (pp. 178-187). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7601 LNCS). https://doi.org/10.1007/978-3-642-33612-6_19

Huang, Weimin ; Xiong, Wei ; Zhou, Jiayin et al. / 3D shape analysis for liver-gallbladder anatomical structure retrieval. Abdominal Imaging: Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings. 2012. pp. 178-187 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{08228d917ed8457ba00aac4e80a6b285,

title = "3D shape analysis for liver-gallbladder anatomical structure retrieval",

abstract = "Anatomical structure is important for medical education and disease diagnosis. In the application of surgical simulation, different anatomical structures can be retrieved to create variety of surgical scenarios for training, while similar structures can also be retrieved to assist disease diagnosis. This paper presents an approach to liver-gallbladder anatomical structure retrieval with 3D shape comparison, where the direct shape comparison based on dense shape registration is applied to liver shape due to its shape complexity, and feature based comparison is applied to gallbladder shape with a semantic shape decomposition using the saliency area based on multi-scale curvatures and concavity. After the registration of liver models, the geometric structure of the gallbladder and liver can be combined for joint comparison. With the 3D models constructed from a set of liver-gallbladder CT data, experiments are conducted for joint liver-gallbladder retrieval. Encouraging result shows that it can reveal important topology based on similarity and variance of 3D shapes and has a similar performance compared to that of manual retrieval by human operators.",

keywords = "Anatomical structure, shape analysis, shape comparison, surgical simulation",

author = "Weimin Huang and Wei Xiong and Jiayin Zhou and Jing Zhang and Tao Yang and Jiang Liu and Yi Su and Calvin Lim and Chui, \{Chee Kong\} and Stephen Chang",

note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; 4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 ; Conference date: 01-10-2012 Through 01-10-2012",

year = "2012",

doi = "10.1007/978-3-642-33612-6\_19",

language = "English",

isbn = "9783642336119",

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

pages = "178--187",

booktitle = "Abdominal Imaging",

}

Huang, W, Xiong, W, Zhou, J, Zhang, J, Yang, T, Liu, J, Su, Y, Lim, C, Chui, CK & Chang, S 2012, 3D shape analysis for liver-gallbladder anatomical structure retrieval. in Abdominal Imaging: Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7601 LNCS, pp. 178-187, 4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012, Nice, France, 1/10/12. https://doi.org/10.1007/978-3-642-33612-6_19

3D shape analysis for liver-gallbladder anatomical structure retrieval. / Huang, Weimin; Xiong, Wei; Zhou, Jiayin et al.
Abdominal Imaging: Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings. 2012. p. 178-187 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7601 LNCS).

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

TY - GEN

T1 - 3D shape analysis for liver-gallbladder anatomical structure retrieval

AU - Huang, Weimin

AU - Xiong, Wei

AU - Zhou, Jiayin

AU - Zhang, Jing

AU - Yang, Tao

AU - Liu, Jiang

AU - Su, Yi

AU - Lim, Calvin

AU - Chui, Chee Kong

AU - Chang, Stephen

PY - 2012

Y1 - 2012

N2 - Anatomical structure is important for medical education and disease diagnosis. In the application of surgical simulation, different anatomical structures can be retrieved to create variety of surgical scenarios for training, while similar structures can also be retrieved to assist disease diagnosis. This paper presents an approach to liver-gallbladder anatomical structure retrieval with 3D shape comparison, where the direct shape comparison based on dense shape registration is applied to liver shape due to its shape complexity, and feature based comparison is applied to gallbladder shape with a semantic shape decomposition using the saliency area based on multi-scale curvatures and concavity. After the registration of liver models, the geometric structure of the gallbladder and liver can be combined for joint comparison. With the 3D models constructed from a set of liver-gallbladder CT data, experiments are conducted for joint liver-gallbladder retrieval. Encouraging result shows that it can reveal important topology based on similarity and variance of 3D shapes and has a similar performance compared to that of manual retrieval by human operators.

AB - Anatomical structure is important for medical education and disease diagnosis. In the application of surgical simulation, different anatomical structures can be retrieved to create variety of surgical scenarios for training, while similar structures can also be retrieved to assist disease diagnosis. This paper presents an approach to liver-gallbladder anatomical structure retrieval with 3D shape comparison, where the direct shape comparison based on dense shape registration is applied to liver shape due to its shape complexity, and feature based comparison is applied to gallbladder shape with a semantic shape decomposition using the saliency area based on multi-scale curvatures and concavity. After the registration of liver models, the geometric structure of the gallbladder and liver can be combined for joint comparison. With the 3D models constructed from a set of liver-gallbladder CT data, experiments are conducted for joint liver-gallbladder retrieval. Encouraging result shows that it can reveal important topology based on similarity and variance of 3D shapes and has a similar performance compared to that of manual retrieval by human operators.

KW - Anatomical structure

KW - shape analysis

KW - shape comparison

KW - surgical simulation

UR - https://www.scopus.com/pages/publications/84868259918

U2 - 10.1007/978-3-642-33612-6_19

DO - 10.1007/978-3-642-33612-6_19

M3 - Conference contribution

AN - SCOPUS:84868259918

SN - 9783642336119

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

SP - 178

EP - 187

BT - Abdominal Imaging

T2 - 4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012

Y2 - 1 October 2012 through 1 October 2012

ER -

Huang W, Xiong W, Zhou J, Zhang J, Yang T, Liu J et al. 3D shape analysis for liver-gallbladder anatomical structure retrieval. In Abdominal Imaging: Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings. 2012. p. 178-187. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33612-6_19

3D shape analysis for liver-gallbladder anatomical structure retrieval

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

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