Automated fibrosis segmentation from wideband post‐contrast T1∗$$ {T}_1^{\ast } $$ mapping in an animal model of ischemic heart disease with implantable cardioverter‐defibrillators
Clustering of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>T</mml:mi></mml:mrow> <mml:mrow><mml:mn>1</mml:mn></mml:mrow> <mml:mrow><mml:mo>∗</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> <mml:annotation>$$ {T}_1^{\ast } $$</mml:annotation></mml:semantics> </mml:math> maps holds promise for a reproducible approach to scar segmentation in the presence of ICDs.
Authors
- Terenz Escartin (ORCID: https://orcid.org/0000-0001-6855-7516)
- Calder Sheagren (ORCID: https://orcid.org/0000-0001-7439-2906)
- Jaykumar Patel (ORCID: https://orcid.org/0000-0003-1954-4879)
- Graham A. Wright
- Jennifer Barry (ORCID: https://orcid.org/0000-0003-2629-0088)
Institutions
- Sunnybrook Health Science Centre (CA)
- University of Toronto (CA)
- Sunnybrook Research Institute
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1002/mrm.30468
- Citations
- 1
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Canadian Institutes of Health Research