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Linking a Multi-Compartment T2 Model to Diffusion Microstructure in Prostate Cancer

Devine, W; Johnston, E; Bonet-Carne, E; Punwani, S; Alexander, D; Atkinson, D; (2017) Linking a Multi-Compartment T2 Model to Diffusion Microstructure in Prostate Cancer. Presented at: ISMRM, Honolulu, Hawaii, USA. Green open access

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Abstract

This work develops a multi-compartment T2 model for prostate imaging. We investigate whether this model can provide information about differences in tissue microstructure, such as those between normal prostate tissue and tumour, by comparing it to the VERDICT diffusion model6. The high correlations found between a number of the parameters suggest that the proposed model is capable of detecting some microstructural differences. In the future this method may be able to provide different and complementary microstructural information to current diffusion models.

Type: Conference item (Presentation)
Title: Linking a Multi-Compartment T2 Model to Diffusion Microstructure in Prostate Cancer
Event: ISMRM
Location: Honolulu, Hawaii, USA
Dates: 22 - 27 April 2017
Open access status: An open access version is available from UCL Discovery
Publisher version: http://dev.ismrm.org/2017/4793.html
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1551460
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