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

Batool Abbas; Riccardo Lattanzi; Catherine Petchprapa; Guido Gerig

doi:10.1007/978-3-031-11203-4_23

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

Batool Abbas, Riccardo Lattanzi, Catherine Petchprapa, Guido Gerig

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings
Editors	Alessa Hering, Julia Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias Heinrich, Daniel Rueckert
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	198-205
Number of pages	8
ISBN (Print)	9783031112027
DOIs	https://doi.org/10.1007/978-3-031-11203-4_23
State	Published - 2022
Event	10th International Workshop on Biomedical Image Registration, WBIR 2020 - Munich, Germany Duration: Jul 10 2022 → Jul 12 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13386 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Workshop on Biomedical Image Registration, WBIR 2020
Country/Territory	Germany
City	Munich
Period	7/10/22 → 7/12/22

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-11203-4_23

Cite this

Abbas, B., Lattanzi, R., Petchprapa, C., & Gerig, G. (2022). 2D/3D Quasi-Intramodal Registration of Quantitative Magnetic Resonance Images. In A. Hering, J. Schnabel, M. Zhang, E. Ferrante, M. Heinrich, & D. Rueckert (Eds.), Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings (pp. 198-205). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13386 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-11203-4_23

2D/3D Quasi-Intramodal Registration of Quantitative Magnetic Resonance Images. / Abbas, Batool; Lattanzi, Riccardo; Petchprapa, Catherine et al.
Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings. ed. / Alessa Hering; Julia Schnabel; Miaomiao Zhang; Enzo Ferrante; Mattias Heinrich; Daniel Rueckert. Springer Science and Business Media Deutschland GmbH, 2022. p. 198-205 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13386 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abbas, B, Lattanzi, R, Petchprapa, C & Gerig, G 2022, 2D/3D Quasi-Intramodal Registration of Quantitative Magnetic Resonance Images. in A Hering, J Schnabel, M Zhang, E Ferrante, M Heinrich & D Rueckert (eds), Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13386 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 198-205, 10th International Workshop on Biomedical Image Registration, WBIR 2020, Munich, Germany, 7/10/22. https://doi.org/10.1007/978-3-031-11203-4_23

Abbas B, Lattanzi R, Petchprapa C, Gerig G. 2D/3D Quasi-Intramodal Registration of Quantitative Magnetic Resonance Images. In Hering A, Schnabel J, Zhang M, Ferrante E, Heinrich M, Rueckert D, editors, Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 198-205. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-11203-4_23

Abbas, Batool ; Lattanzi, Riccardo ; Petchprapa, Catherine et al. / 2D/3D Quasi-Intramodal Registration of Quantitative Magnetic Resonance Images. Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings. editor / Alessa Hering ; Julia Schnabel ; Miaomiao Zhang ; Enzo Ferrante ; Mattias Heinrich ; Daniel Rueckert. Springer Science and Business Media Deutschland GmbH, 2022. pp. 198-205 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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