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Thesis

Quantitative, non-contrast MRI to improve the diagnosis of breast cancer

Abstract:

Magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast cancer diagnosis, but clinical protocols rely upon contrast injection, uncomfortable prone positioning, and qualitative image interpretation. Such protocols primarily identify tumours from increased neovascularity, which is only one manifestation of pathology.

This thesis addresses these limitations by developing non-contrast, quantitative MRI methodologies to characterise the breast. We focus on two bio...

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Institution:
University of Oxford
Division:
MSD
Department:
Women's & Reproductive Health
Oxford college:
New College
Role:
Author
ORCID:
0000-0002-5958-7390

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
Women's & Reproductive Health
Oxford college:
St Anne's College
Role:
Supervisor
ORCID:
0000-0002-0648-7433
Institution:
Perspectum Ltd.
Role:
Supervisor
ORCID:
0000-0003-0430-0353


More from this funder
Funder identifier:
https://ror.org/05fdb2817
Funding agency for:
Gordon, I
Programme:
Industrial Fellowship


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

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