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

Shoko Miyauchi, Ken’ichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazume

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

    3 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 - 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

    Conference

    Conference1st 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
    Country/TerritoryGreece
    CityAthens
    Period10/21/1610/21/16

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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