2D/3D Quasi-Intramodal Registration of Quantitative Magnetic Resonance Images

Batool Abbas, Riccardo Lattanzi, Catherine Petchprapa, Guido Gerig

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

    Abstract

    Quantitative Magnetic Resonance Imaging (qMRI) is backed by extensive validation in research literature but has seen limited use in clinical practice because of long acquisition times, lack of standardization and no statistical models for analysis. Our research focuses on developing a novel quasi-intermodal 2D slice to 3D volumetric pipeline for an emerging qMR technology that aims to bridge the gap between research and practice. The two-part method first initializes the registration using a 3D reconstruction technique then refines it using a 3D to 2D projection technique. Intermediate results promise feasibility and efficacy of our proposed method.

    Original languageEnglish (US)
    Title of host publicationBiomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings
    EditorsAlessa Hering, Julia Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias Heinrich, Daniel Rueckert
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages198-205
    Number of pages8
    ISBN (Print)9783031112027
    DOIs
    StatePublished - 2022
    Event10th International Workshop on Biomedical Image Registration, WBIR 2020 - Munich, Germany
    Duration: Jul 10 2022Jul 12 2022

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume13386 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference10th International Workshop on Biomedical Image Registration, WBIR 2020
    Country/TerritoryGermany
    CityMunich
    Period7/10/227/12/22

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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