Volume representation of parenchymatous organs by volumetric self-organizing deformable model

Shoko Miyauchi, Kenichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazume

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes a new method for describing parenchymatous organs by the set of volumetric primitives with simple shapes. The proposed method is based on our modified Self-organizing Deformable Model (mSDM) which maps an object surface model onto a target surface with no foldovers. By extending mSDM to apply to organ volume models, the proposed method, volumetric SDM (vSDM), finds the one-to-one correspondence between the volume model and its target volume. During the mapping, vSDM preserves geometrical properties of the original model while mapping internal structures of the model onto their corresponding primitives inside of the target volume. Owing to these characteristics, vSDM enables to obtain a new volume representation of organ volume models which simultaneously (1) represents by simple primitives the shapes of the whole organ and its internal structures and (2) describes the relationship among the external surface and internal structures of the organ.

Original languageEnglish
Title of host publicationSpectral and Shape Analysis in Medical Imaging - First International Workshop, SeSAMI 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers
EditorsHerve Lombaert, Christian Wachinger, Martin Reuter
PublisherSpringer Verlag
Pages39-50
Number of pages12
ISBN (Print)9783319512365
DOIs
Publication statusPublished - Jan 1 2016
Event1st International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer Assisted Interventions, MICCAI 2016 - Athens, Greece
Duration: Oct 21 2016Oct 21 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10126 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer Assisted Interventions, MICCAI 2016
CountryGreece
CityAthens
Period10/21/1610/21/16

Fingerprint

Deformable Models
Self-organizing
Internal
Target
Model
One to one correspondence

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Miyauchi, S., Morooka, K., Tsuji, T., Miyagi, Y., Fukuda, T., & Kurazume, R. (2016). Volume representation of parenchymatous organs by volumetric self-organizing deformable model. In H. Lombaert, C. Wachinger, & M. Reuter (Eds.), Spectral and Shape Analysis in Medical Imaging - First International Workshop, SeSAMI 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers (pp. 39-50). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10126 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-51237-2_4

Volume representation of parenchymatous organs by volumetric self-organizing deformable model. / Miyauchi, Shoko; Morooka, Kenichi; Tsuji, Tokuo; Miyagi, Yasushi; Fukuda, Takaichi; Kurazume, Ryo.

Spectral and Shape Analysis in Medical Imaging - First International Workshop, SeSAMI 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. ed. / Herve Lombaert; Christian Wachinger; Martin Reuter. Springer Verlag, 2016. p. 39-50 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10126 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Miyauchi, S, Morooka, K, Tsuji, T, Miyagi, Y, Fukuda, T & Kurazume, R 2016, Volume representation of parenchymatous organs by volumetric self-organizing deformable model. in H Lombaert, C Wachinger & M Reuter (eds), Spectral and Shape Analysis in Medical Imaging - First International Workshop, SeSAMI 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10126 LNCS, Springer Verlag, pp. 39-50, 1st International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer Assisted Interventions, MICCAI 2016, Athens, Greece, 10/21/16. https://doi.org/10.1007/978-3-319-51237-2_4
Miyauchi S, Morooka K, Tsuji T, Miyagi Y, Fukuda T, Kurazume R. Volume representation of parenchymatous organs by volumetric self-organizing deformable model. In Lombaert H, Wachinger C, Reuter M, editors, Spectral and Shape Analysis in Medical Imaging - First International Workshop, SeSAMI 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. Springer Verlag. 2016. p. 39-50. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-51237-2_4
Miyauchi, Shoko ; Morooka, Kenichi ; Tsuji, Tokuo ; Miyagi, Yasushi ; Fukuda, Takaichi ; Kurazume, Ryo. / Volume representation of parenchymatous organs by volumetric self-organizing deformable model. Spectral and Shape Analysis in Medical Imaging - First International Workshop, SeSAMI 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. editor / Herve Lombaert ; Christian Wachinger ; Martin Reuter. Springer Verlag, 2016. pp. 39-50 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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