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A machine learning approach to diffusion MRI partial volume estimation

Abstract:

Tissue-type partial volume modelling is generally an ill-posed problem in single-shell diffusion MRI. On the other hand, T1w images are typically acquired along with the diffusion data, and allow for an accurate estimation of the tissue partial volume fractions (PVFs). We propose in this paper to compare different data driven approach to predict the T1w-derived PVFs from the diffusion data. The aim is to alleviate the within subject mis-registration between the two modalities. Our experiments...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-030-00536-8_5

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Oxford college:
Linacre College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
Publisher:
Springer Publisher's website
Journal:
Lecture Notes in Computer Science Journal website
Volume:
11037
Pages:
42-51
Series:
Lecture Notes in Computer Science
Host title:
Simulation and Synthesis in Medical Imaging
Publication date:
2018-09-12
Acceptance date:
2018-07-27
DOI:
ISSN:
0302-9743
Source identifiers:
924259
ISBN:
9783030005351
Keywords:
Pubs id:
pubs:924259
UUID:
uuid:2b90c479-897b-4921-af22-7d9f76dd0d1e
Local pid:
pubs:924259
Deposit date:
2019-06-18

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