TBS: Tensor-based supervoxels for unfolding the heart

Hirohisa Oda; Holger R. Roth; Kanwal K. Bhatia; Masahiro Oda; Takayuki Kitasaka; Toshiaki Akita; Julia A. Schnabel; Kensaku Mori

doi:10.1007/978-3-319-66182-7_78

TBS: Tensor-based supervoxels for unfolding the heart

Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori

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

Abstract

Investigation of the myofiber structure of the heart is desired for studies of anatomy and diseases. However, it is difficult to understand the left ventricle structure intuitively because it consists of three layers with different myofiber orientations. In this work, we propose an unfolding method for micro-focus X-ray CT (µCT) volumes of the heart. First, we explore a novel supervoxel over-segmentation technique, Tensor-Based Supervoxels (TBS), which allows us to divide the left ventricle into three layers. We utilize TBS and B-spline curves for extraction of the layers. Finally we project µCT intensities in each layer to an unfolded view. Experiments are performed using three µCT images of the left ventricle acquired from canine heart specimens. In all cases, the myofiber structure could be observed clearly in the unfolded views. This is promising for helping cardiac studies.

Original language	English
Title of host publication	Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings
Editors	Maxime Descoteaux, Simon Duchesne, Alfred Franz, Pierre Jannin, D. Louis Collins, Lena Maier-Hein
Publisher	Springer Verlag
Pages	681-689
Number of pages	9
ISBN (Print)	9783319661810
DOIs	https://doi.org/10.1007/978-3-319-66182-7_78
State	Published - 2017
Externally published	Yes
Event	20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017 - Quebec City, Canada Duration: 11 Sep 2017 → 13 Sep 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10433 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017
Country/Territory	Canada
City	Quebec City
Period	11/09/17 → 13/09/17

Keywords

3D deformation
Cardiac anatomy
Iterative clustering

Access to Document

10.1007/978-3-319-66182-7_78

Cite this

Oda, H., Roth, H. R., Bhatia, K. K., Oda, M., Kitasaka, T., Akita, T., Schnabel, J. A., & Mori, K. (2017). TBS: Tensor-based supervoxels for unfolding the heart. In M. Descoteaux, S. Duchesne, A. Franz, P. Jannin, D. L. Collins, & L. Maier-Hein (Eds.), Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings (pp. 681-689). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10433 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-66182-7_78

Oda, Hirohisa ; Roth, Holger R. ; Bhatia, Kanwal K. et al. / TBS : Tensor-based supervoxels for unfolding the heart. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. editor / Maxime Descoteaux ; Simon Duchesne ; Alfred Franz ; Pierre Jannin ; D. Louis Collins ; Lena Maier-Hein. Springer Verlag, 2017. pp. 681-689 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "TBS: Tensor-based supervoxels for unfolding the heart",

abstract = "Investigation of the myofiber structure of the heart is desired for studies of anatomy and diseases. However, it is difficult to understand the left ventricle structure intuitively because it consists of three layers with different myofiber orientations. In this work, we propose an unfolding method for micro-focus X-ray CT (µCT) volumes of the heart. First, we explore a novel supervoxel over-segmentation technique, Tensor-Based Supervoxels (TBS), which allows us to divide the left ventricle into three layers. We utilize TBS and B-spline curves for extraction of the layers. Finally we project µCT intensities in each layer to an unfolded view. Experiments are performed using three µCT images of the left ventricle acquired from canine heart specimens. In all cases, the myofiber structure could be observed clearly in the unfolded views. This is promising for helping cardiac studies.",

keywords = "3D deformation, Cardiac anatomy, Iterative clustering",

author = "Hirohisa Oda and Roth, {Holger R.} and Bhatia, {Kanwal K.} and Masahiro Oda and Takayuki Kitasaka and Toshiaki Akita and Schnabel, {Julia A.} and Kensaku Mori",

note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017 ; Conference date: 11-09-2017 Through 13-09-2017",

year = "2017",

doi = "10.1007/978-3-319-66182-7_78",

language = "English",

isbn = "9783319661810",

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

publisher = "Springer Verlag",

pages = "681--689",

editor = "Maxime Descoteaux and Simon Duchesne and Alfred Franz and Pierre Jannin and Collins, {D. Louis} and Lena Maier-Hein",

booktitle = "Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings",

}

Oda, H, Roth, HR, Bhatia, KK, Oda, M, Kitasaka, T, Akita, T, Schnabel, JA & Mori, K 2017, TBS: Tensor-based supervoxels for unfolding the heart. in M Descoteaux, S Duchesne, A Franz, P Jannin, DL Collins & L Maier-Hein (eds), Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10433 LNCS, Springer Verlag, pp. 681-689, 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, Quebec City, Canada, 11/09/17. https://doi.org/10.1007/978-3-319-66182-7_78

TBS: Tensor-based supervoxels for unfolding the heart. / Oda, Hirohisa; Roth, Holger R.; Bhatia, Kanwal K. et al.
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. ed. / Maxime Descoteaux; Simon Duchesne; Alfred Franz; Pierre Jannin; D. Louis Collins; Lena Maier-Hein. Springer Verlag, 2017. p. 681-689 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10433 LNCS).

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

TY - GEN

T1 - TBS

T2 - 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017

AU - Oda, Hirohisa

AU - Roth, Holger R.

AU - Bhatia, Kanwal K.

AU - Oda, Masahiro

AU - Kitasaka, Takayuki

AU - Akita, Toshiaki

AU - Schnabel, Julia A.

AU - Mori, Kensaku

PY - 2017

Y1 - 2017

N2 - Investigation of the myofiber structure of the heart is desired for studies of anatomy and diseases. However, it is difficult to understand the left ventricle structure intuitively because it consists of three layers with different myofiber orientations. In this work, we propose an unfolding method for micro-focus X-ray CT (µCT) volumes of the heart. First, we explore a novel supervoxel over-segmentation technique, Tensor-Based Supervoxels (TBS), which allows us to divide the left ventricle into three layers. We utilize TBS and B-spline curves for extraction of the layers. Finally we project µCT intensities in each layer to an unfolded view. Experiments are performed using three µCT images of the left ventricle acquired from canine heart specimens. In all cases, the myofiber structure could be observed clearly in the unfolded views. This is promising for helping cardiac studies.

AB - Investigation of the myofiber structure of the heart is desired for studies of anatomy and diseases. However, it is difficult to understand the left ventricle structure intuitively because it consists of three layers with different myofiber orientations. In this work, we propose an unfolding method for micro-focus X-ray CT (µCT) volumes of the heart. First, we explore a novel supervoxel over-segmentation technique, Tensor-Based Supervoxels (TBS), which allows us to divide the left ventricle into three layers. We utilize TBS and B-spline curves for extraction of the layers. Finally we project µCT intensities in each layer to an unfolded view. Experiments are performed using three µCT images of the left ventricle acquired from canine heart specimens. In all cases, the myofiber structure could be observed clearly in the unfolded views. This is promising for helping cardiac studies.

KW - 3D deformation

KW - Cardiac anatomy

KW - Iterative clustering

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U2 - 10.1007/978-3-319-66182-7_78

DO - 10.1007/978-3-319-66182-7_78

M3 - Conference contribution

AN - SCOPUS:85029357383

SN - 9783319661810

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

SP - 681

EP - 689

BT - Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings

A2 - Descoteaux, Maxime

A2 - Duchesne, Simon

A2 - Franz, Alfred

A2 - Jannin, Pierre

A2 - Collins, D. Louis

A2 - Maier-Hein, Lena

PB - Springer Verlag

Y2 - 11 September 2017 through 13 September 2017

ER -

Oda H, Roth HR, Bhatia KK, Oda M, Kitasaka T, Akita T et al. TBS: Tensor-based supervoxels for unfolding the heart. In Descoteaux M, Duchesne S, Franz A, Jannin P, Collins DL, Maier-Hein L, editors, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Springer Verlag. 2017. p. 681-689. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-66182-7_78

TBS: Tensor-based supervoxels for unfolding the heart

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