From CMR image to patient-specific simulation and population-based analysis: Tutorial for an openly available image-processing pipeline

Maciej Marciniak*, Hermenegild Arevalo, Jacob Tfelt-Hansen, Thomas Jespersen, Reza Jabbari, Charlotte Glinge, Kiril A. Ahtarovski, Niels Vejlstrup, Thomas Engstrom, Mary M. Maleckar, Kristin McLeod

*Corresponding author af dette arbejde
    5 Citationer (Scopus)

    Abstract

    Cardiac magnetic resonance (CMR) imaging is becoming a routine diagnostic and therapy planning tool for some cardiovascular diseases. It is still challenging to properly analyse the acquired data, and the currently available measures do not exploit the rich characteristics of that data. Advanced analysis and modelling techniques are increasingly used to extract additional information from the images, in order to define metrics describing disease manifestations and to quantitatively compare patients. Many techniques share a common bottleneck caused by the image processing required to segment the images and convert the segmentation to a usable computational domain for analysis/modelling. To address this, we present a comprehensive pipeline to go from CMR images to computational bi-ventricle meshes. The latter can be used for biophysical simulations or statistical shape analysis. The provided tutorial describes each step and the proposed pipeline, which makes use of tools that are available open-source. The pipeline was applied to a data-set of myocardial infarction patients, from late gadolinium enhanced CMR images, to analyse and compare structure in these patients. Examples of applications present the use of the output of the pipeline for patient-specific biophysical simulations and population-based statistical shape analysis.

    OriginalsprogEngelsk
    TitelStatistical Atlases and Computational Models of the Heart : Imaging and Modelling Challenges - 7th International Workshop, STACOM 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers
    RedaktørerMaxime Sermesant, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Kristin McLeod, Alistair Young
    Antal sider12
    ForlagSpringer Verlag
    Publikationsdato2017
    Sider106-117
    ISBN (Trykt)9783319527178
    DOI
    StatusUdgivet - 2017
    Begivenhed7th International Workshop on Statistical Atlases and Computational Models of the Heart Imaging and Modelling Challenges, STACOM 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 - Athens, Grækenland
    Varighed: 17 okt. 201621 okt. 2016

    Konference

    Konference7th International Workshop on Statistical Atlases and Computational Models of the Heart Imaging and Modelling Challenges, STACOM 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016
    Land/OmrådeGrækenland
    ByAthens
    Periode17/10/201621/10/2016
    SponsorSciMedia Ltd, SysAfib
    NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Vol/bind10124 LNCS
    ISSN0302-9743

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