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Thesis

Robust deep learning methods for accountable contrast-agent-free CMR imaging in clinical applications

Abstract:

Cardiovascular magnetic resonance (CMR) T1 mapping is a crucial non-invasive imaging technique for quantifying myocardial tissue characteristics, providing valuable insights into a range of ischaemic and non-ischaemic cardiac conditions, including myocardial infarction, inflammation, infiltration, and fibrosis. Despite its clinical utility, the application of T1 mapping in routine practice faces several technical challenges, especially: motion artefacts that compromise image quality, limit...

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Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Oxford college:
Balliol College
Role:
Author
ORCID:
0000-0002-9384-4602

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Supervisor
ORCID:
0000-0002-0268-5221
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Oxford college:
Lady Margaret Hall
Role:
Supervisor
ORCID:
0000-0002-0046-7634
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Oxford college:
Keble College
Role:
Supervisor
ORCID:
0000-0003-3385-1242
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Oxford college:
Lincoln College
Role:
Examiner
ORCID:
0000-0002-3714-6711
Institution:
University of Manchester
Role:
Examiner
ORCID:
0000-0002-2675-528X


More from this funder
Funding agency for:
Gonzales, RA
Programme:
Clarendon Scholarship
More from this funder
Funding agency for:
Gonzales, RA
Programme:
Alfred Douglas Stone Scholarship
More from this funder
Funding agency for:
Gonzales, RA
Programme:
RDM Scholars Programme


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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