Literature DB >> 26223047

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

Damien J McHugh, Fenglei Zhou, Penny L Hubbard Cristinacce, Josephine H Naish, Geoffrey J M Parker.   

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.

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Year:  2015        PMID: 26223047     DOI: 10.1007/978-3-319-19992-4_14

Source DB:  PubMed          Journal:  Inf Process Med Imaging        ISSN: 1011-2499


  4 in total

1.  Towards microstructure fingerprinting: Estimation of tissue properties from a dictionary of Monte Carlo diffusion MRI simulations.

Authors:  Gaëtan Rensonnet; Benoît Scherrer; Gabriel Girard; Aleksandar Jankovski; Simon K Warfield; Benoît Macq; Jean-Philippe Thiran; Maxime Taquet
Journal:  Neuroimage       Date:  2018-09-30       Impact factor: 6.556

2.  Preparation and characterization of polycaprolactone microspheres by electrospraying.

Authors:  Feng-Lei Zhou; Penny L Hubbard Cristinacce; Stephen J Eichhorn; Geoff J M Parker
Journal:  Aerosol Sci Technol       Date:  2016-09-13       Impact factor: 2.908

3.  Axon mimicking hydrophilic hollow polycaprolactone microfibres for diffusion magnetic resonance imaging.

Authors:  Feng-Lei Zhou; Zhanxiong Li; Julie E Gough; Penny L Hubbard Cristinacce; Geoff J M Parker
Journal:  Mater Des       Date:  2018-01-05       Impact factor: 7.991

4.  A biomimetic tumor tissue phantom for validating diffusion-weighted MRI measurements.

Authors:  Damien J McHugh; Feng-Lei Zhou; Ian Wimpenny; Gowsihan Poologasundarampillai; Josephine H Naish; Penny L Hubbard Cristinacce; Geoffrey J M Parker
Journal:  Magn Reson Med       Date:  2017-11-20       Impact factor: 4.668

  4 in total

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