Ground Truth for Diffusion MRI in Cancer: A Model-Based Investigation of a Novel Tissue-Mimetic Material

Damien Mchugh, Fenglei Zhou, Penny Cristinacce, Josephine H Naish, Geoff Parker

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

This work presents preliminary results on the development, characterisation, and use of a novel physical phantom designed as a simple mimic of tumour cellular structure, for diffusion-weighted magnetic resonance imaging (DW-MRI) applications. The phantom consists of a collection of roughly spherical, micron-sized core-shell polymer 'cells', providing a system whose ground truth microstructural properties can be determined and compared with those obtained from modelling the DW-MRI signal. A two-compartment analytic model combining restricted diffusion inside a sphere with hindered extracellular diffusion was initially investigated through Monte Carlo diffusion simulations, allowing a comparison between analytic and simulated signals. The model was then fitted to DW-MRI data acquired from the phantom over a range of gradient strengths and diffusion times, yielding estimates of 'cell' size, intracellular volume fraction and the free diffusion coefficient. An initial assessment of the accuracy and precision of these estimates is provided, using independent scanning electron microscope measurements and bootstrap-style simulations. Such phantoms may be useful for testing microstructural models relevant to the characterisation of tumour tissue.
Original languageEnglish
Title of host publicationInternational Conference on Information Processing in Medical Imaging
Subtitle of host publicationIPMI 2015: Information Processing in Medical Imaging pp 179-190
PublisherSpringer Nature
Pages179-190
Volume9123
ISBN (Electronic)978-3-319-19992-4
ISBN (Print)978-3-319-19991-7
DOIs
Publication statusPublished - 23 Jun 2015

Publication series

NameLecture Notes in Computer Science (LNCS)
PublisherSpringer
Volume9123

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