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


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
Number of pages8
ISBN (Print)9783031112027
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


Conference10th International Workshop on Biomedical Image Registration, WBIR 2020

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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