4D Continuous Medial Representation Trajectory Estimation for Longitudinal Shape Analysis

Sungmin Hong, James Fishbaugh, Guido Gerig

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

    Abstract

    Morphological change of anatomy over time has been of great interest for tracking disease progression, aging, and growth. Shape regression methods have shown great success to model the shape changes over time to create a smooth and representative shape trajectory of sparsely scanned medical images. Shape changes modeled by shape regression methods can be affected by pose changes of shapes caused by neighboring anatomies. Such pose changes can cause informative local shape changes to be obscured and neglected in longitudinal shape analysis. In this paper, we propose a method that estimates a continuous trajectory of medial surfaces with correspondence over time to track longitudinal pose changes and local thickness changes separately. A spatiotemporally continuous medial surface trajectory is estimated by integrating velocity fields from a series of continuous medial representations individually estimated for each shape in a continuous 3D shape trajectory. The proposed method enables straightforward analysis on continuous local thickness changes and pose changes of a continuous multi-object shape trajectory. Longitudinal shape analysis which makes use of correspondence and temporal coherence of the estimated continuous medial surface trajectory is demonstrated with experiments on synthetic examples and real anatomical shape complexes.

    Original languageEnglish (US)
    Title of host publicationShape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Proceedings
    EditorsHervé Lombaert, Beatriz Paniagua, Bernhard Egger, Marcel Lüthi, Martin Reuter, Christian Wachinger
    PublisherSpringer-Verlag
    Pages125-136
    Number of pages12
    ISBN (Print)9783030047467
    DOIs
    StatePublished - Jan 1 2018
    EventInternational Workshop on Shape in Medical Imaging, ShapeMI 2018 held in conjunction with 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spain
    Duration: Sep 20 2018Sep 20 2018

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume11167 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    OtherInternational Workshop on Shape in Medical Imaging, ShapeMI 2018 held in conjunction with 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018
    CountrySpain
    CityGranada
    Period9/20/189/20/18

    Fingerprint

    Longitudinal Analysis
    Shape Analysis
    Trajectories
    Trajectory
    Anatomy
    Correspondence
    Regression
    Aging of materials
    3D shape
    Medical Image
    Progression
    Velocity Field

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Cite this

    Hong, S., Fishbaugh, J., & Gerig, G. (2018). 4D Continuous Medial Representation Trajectory Estimation for Longitudinal Shape Analysis. In H. Lombaert, B. Paniagua, B. Egger, M. Lüthi, M. Reuter, & C. Wachinger (Eds.), Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Proceedings (pp. 125-136). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11167 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-04747-4_12

    4D Continuous Medial Representation Trajectory Estimation for Longitudinal Shape Analysis. / Hong, Sungmin; Fishbaugh, James; Gerig, Guido.

    Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. ed. / Hervé Lombaert; Beatriz Paniagua; Bernhard Egger; Marcel Lüthi; Martin Reuter; Christian Wachinger. Springer-Verlag, 2018. p. 125-136 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11167 LNCS).

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

    Hong, S, Fishbaugh, J & Gerig, G 2018, 4D Continuous Medial Representation Trajectory Estimation for Longitudinal Shape Analysis. in H Lombaert, B Paniagua, B Egger, M Lüthi, M Reuter & C Wachinger (eds), Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11167 LNCS, Springer-Verlag, pp. 125-136, International Workshop on Shape in Medical Imaging, ShapeMI 2018 held in conjunction with 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 9/20/18. https://doi.org/10.1007/978-3-030-04747-4_12
    Hong S, Fishbaugh J, Gerig G. 4D Continuous Medial Representation Trajectory Estimation for Longitudinal Shape Analysis. In Lombaert H, Paniagua B, Egger B, Lüthi M, Reuter M, Wachinger C, editors, Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Springer-Verlag. 2018. p. 125-136. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-04747-4_12
    Hong, Sungmin ; Fishbaugh, James ; Gerig, Guido. / 4D Continuous Medial Representation Trajectory Estimation for Longitudinal Shape Analysis. Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. editor / Hervé Lombaert ; Beatriz Paniagua ; Bernhard Egger ; Marcel Lüthi ; Martin Reuter ; Christian Wachinger. Springer-Verlag, 2018. pp. 125-136 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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