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Tumor cell load and heterogeneity estimation from diffusion-weighted MRI calibrated with histological data: An example from lung cancer

Abstract:

Diffusion-weighted magnetic resonance imaging (DWI) is a key non-invasive imaging technique for cancer diagnosis and tumor treatment assessment, reflecting Brownian movement of water molecules in tissues. Since densely packed cells restrict molecule mobility, tumor tissues produce usually higher signal (a.k.a. less attenuated signal) on isotropic maps compared with normal tissues. However, no general quantitative relation between DWI data and the cell density has been established. In order to...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/tmi.2017.2698525

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Women's & Reproductive Health
Role:
Author
ORCID:
0000-0001-5821-7497
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Role:
Author
ORCID:
0000-0003-4968-6675
Publisher:
IEEE
Journal:
IEEE Transactions on Medical Imaging More from this journal
Volume:
37
Issue:
1
Pages:
35-46
Publication date:
2017-04-27
Acceptance date:
2017-04-08
DOI:
EISSN:
1558-254X
ISSN:
0278-0062
Pmid:
28463188
Language:
English
Keywords:
Pubs id:
891740
Local pid:
pubs:891740
Deposit date:
2021-03-04

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