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Anatomically informed Bayesian inference for physiological imaging

Abstract:

Anatomy interacts with all aspects of physiological imaging. Notably, volumetric techniques of limited spatial resolution struggle to image complex anatomies such as the cerebral cortex. One consequence of this is the partial volume effect, which introduces bias or confound into parameter measurements derived from such images. Fundamentally, the effect arises because the manner of image acquisition and analysis is not well-suited to the anatomy in question. Correction for partial volume ef...

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Division:
MPLS
Department:
Engineering Science
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Supervisor
ORCID:
0000-0003-1802-4214
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
ORCID:
0000-0002-3034-8986
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Name:
Magdalen College, University of Oxford
Funder identifier:
http://dx.doi.org/10.13039/100010350
Grant:
Bellhouse Scholarship
Programme:
Bellhouse Scholarship
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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