Brain volume mapping for constructing volumetric statistical shape model

Shoko Miyauchi, Ken'ichi Morooka, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazume

研究成果: 著書/レポートタイプへの貢献会議での発言

抄録

We propose a new method for mapping onto a brain volume model including inner organs with complicated shapes such as lateral ventricles. The proposed method is based on a volumetric Self-organizing Deformable Model (vSDM) which allows to control the mapping positions of inner organs while preserving geometrical features before and after the mapping. The control sometimes causes the self-intersection of the volume model. The solution for the self-intersection in vSDM is to move vertices of the volume model. However, when the inner organ has complicated shape, the vertex movement cannot always correct the self-intersection. To solve this problem, we extend vSDM by introducing a new process of editing the mesh structure of the volume model. Moreover, by applying the proposed method to six brain volume models, a volumetric Statistical Shape Model (SSM) is constructed which represents the shape variations of not only brain surface but also brain inner organs. From experimental results, we confirmed the volumetric SSM has an acceptable performance compared with general surface SSMs generated by organ surface models.

元の言語英語
ホスト出版物のタイトルInternational Forum on Medical Imaging in Asia 2019
編集者Hiroshi Fujita, Jong Hyo Kim, Feng Lin
出版者SPIE
ISBN(電子版)9781510627758
DOI
出版物ステータス出版済み - 1 1 2019
イベントInternational Forum on Medical Imaging in Asia 2019 - Singapore, シンガポール
継続期間: 1 7 20191 9 2019

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
11050
ISSN(印刷物)0277-786X
ISSN(電子版)1996-756X

会議

会議International Forum on Medical Imaging in Asia 2019
シンガポール
Singapore
期間1/7/191/9/19

Fingerprint

brain
Brain
Deformable Models
Self-intersection
Self-organizing
organs
organizing
intersections
Model
Inner Models
Surjection
apexes
Lateral
editing
Mesh
preserving
mesh
Experimental Results
Vertex of a graph
causes

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

これを引用

Miyauchi, S., Morooka, K., Miyagi, Y., Fukuda, T., & Kurazume, R. (2019). Brain volume mapping for constructing volumetric statistical shape model. : H. Fujita, J. H. Kim, & F. Lin (版), International Forum on Medical Imaging in Asia 2019 [110501C] (Proceedings of SPIE - The International Society for Optical Engineering; 巻数 11050). SPIE. https://doi.org/10.1117/12.2519819

Brain volume mapping for constructing volumetric statistical shape model. / Miyauchi, Shoko; Morooka, Ken'ichi; Miyagi, Yasushi; Fukuda, Takaichi; Kurazume, Ryo.

International Forum on Medical Imaging in Asia 2019. 版 / Hiroshi Fujita; Jong Hyo Kim; Feng Lin. SPIE, 2019. 110501C (Proceedings of SPIE - The International Society for Optical Engineering; 巻 11050).

研究成果: 著書/レポートタイプへの貢献会議での発言

Miyauchi, S, Morooka, K, Miyagi, Y, Fukuda, T & Kurazume, R 2019, Brain volume mapping for constructing volumetric statistical shape model. : H Fujita, JH Kim & F Lin (版), International Forum on Medical Imaging in Asia 2019., 110501C, Proceedings of SPIE - The International Society for Optical Engineering, 巻. 11050, SPIE, International Forum on Medical Imaging in Asia 2019, Singapore, シンガポール, 1/7/19. https://doi.org/10.1117/12.2519819
Miyauchi S, Morooka K, Miyagi Y, Fukuda T, Kurazume R. Brain volume mapping for constructing volumetric statistical shape model. : Fujita H, Kim JH, Lin F, 編集者, International Forum on Medical Imaging in Asia 2019. SPIE. 2019. 110501C. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2519819
Miyauchi, Shoko ; Morooka, Ken'ichi ; Miyagi, Yasushi ; Fukuda, Takaichi ; Kurazume, Ryo. / Brain volume mapping for constructing volumetric statistical shape model. International Forum on Medical Imaging in Asia 2019. 編集者 / Hiroshi Fujita ; Jong Hyo Kim ; Feng Lin. SPIE, 2019. (Proceedings of SPIE - The International Society for Optical Engineering).
@inproceedings{8e4364777d764ee38be625d4215c3e2d,
title = "Brain volume mapping for constructing volumetric statistical shape model",
abstract = "We propose a new method for mapping onto a brain volume model including inner organs with complicated shapes such as lateral ventricles. The proposed method is based on a volumetric Self-organizing Deformable Model (vSDM) which allows to control the mapping positions of inner organs while preserving geometrical features before and after the mapping. The control sometimes causes the self-intersection of the volume model. The solution for the self-intersection in vSDM is to move vertices of the volume model. However, when the inner organ has complicated shape, the vertex movement cannot always correct the self-intersection. To solve this problem, we extend vSDM by introducing a new process of editing the mesh structure of the volume model. Moreover, by applying the proposed method to six brain volume models, a volumetric Statistical Shape Model (SSM) is constructed which represents the shape variations of not only brain surface but also brain inner organs. From experimental results, we confirmed the volumetric SSM has an acceptable performance compared with general surface SSMs generated by organ surface models.",
author = "Shoko Miyauchi and Ken'ichi Morooka and Yasushi Miyagi and Takaichi Fukuda and Ryo Kurazume",
year = "2019",
month = "1",
day = "1",
doi = "10.1117/12.2519819",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Hiroshi Fujita and Kim, {Jong Hyo} and Feng Lin",
booktitle = "International Forum on Medical Imaging in Asia 2019",
address = "United States",

}

TY - GEN

T1 - Brain volume mapping for constructing volumetric statistical shape model

AU - Miyauchi, Shoko

AU - Morooka, Ken'ichi

AU - Miyagi, Yasushi

AU - Fukuda, Takaichi

AU - Kurazume, Ryo

PY - 2019/1/1

Y1 - 2019/1/1

N2 - We propose a new method for mapping onto a brain volume model including inner organs with complicated shapes such as lateral ventricles. The proposed method is based on a volumetric Self-organizing Deformable Model (vSDM) which allows to control the mapping positions of inner organs while preserving geometrical features before and after the mapping. The control sometimes causes the self-intersection of the volume model. The solution for the self-intersection in vSDM is to move vertices of the volume model. However, when the inner organ has complicated shape, the vertex movement cannot always correct the self-intersection. To solve this problem, we extend vSDM by introducing a new process of editing the mesh structure of the volume model. Moreover, by applying the proposed method to six brain volume models, a volumetric Statistical Shape Model (SSM) is constructed which represents the shape variations of not only brain surface but also brain inner organs. From experimental results, we confirmed the volumetric SSM has an acceptable performance compared with general surface SSMs generated by organ surface models.

AB - We propose a new method for mapping onto a brain volume model including inner organs with complicated shapes such as lateral ventricles. The proposed method is based on a volumetric Self-organizing Deformable Model (vSDM) which allows to control the mapping positions of inner organs while preserving geometrical features before and after the mapping. The control sometimes causes the self-intersection of the volume model. The solution for the self-intersection in vSDM is to move vertices of the volume model. However, when the inner organ has complicated shape, the vertex movement cannot always correct the self-intersection. To solve this problem, we extend vSDM by introducing a new process of editing the mesh structure of the volume model. Moreover, by applying the proposed method to six brain volume models, a volumetric Statistical Shape Model (SSM) is constructed which represents the shape variations of not only brain surface but also brain inner organs. From experimental results, we confirmed the volumetric SSM has an acceptable performance compared with general surface SSMs generated by organ surface models.

UR - http://www.scopus.com/inward/record.url?scp=85063891595&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85063891595&partnerID=8YFLogxK

U2 - 10.1117/12.2519819

DO - 10.1117/12.2519819

M3 - Conference contribution

AN - SCOPUS:85063891595

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - International Forum on Medical Imaging in Asia 2019

A2 - Fujita, Hiroshi

A2 - Kim, Jong Hyo

A2 - Lin, Feng

PB - SPIE

ER -