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Microstructure Imaging Sequence Simulation Toolbox

Ianuş, A; Alexander, DC; Drobnjak, I; (2016) Microstructure Imaging Sequence Simulation Toolbox. In: Tsaftaris, SA and Gooya, A and Frangi, AF and Prince, JL, (eds.) Simulation and Synthesis in Medical Imaging: First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. (pp. pp. 34-44). Springer: Cham, Switzerland. Green open access

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Abstract

This work describes Microstructure Imaging Sequence Simulation Toolbox (MISST), a practical diffusion MRI simulator for development, testing, and optimisation of novel MR pulse sequences for microstructure imaging. Diffusion MRI measures molecular displacement at microscopic level and provides a non-invasive tool for probing tissue microstructure. The measured signal is determined by various cellular features such as size, shape, intracellular volume fraction, orientation, etc., as well as the acquisition parameters of the diffusion sequence. Numerical simulations are a key step in understanding the effect of various parameters on the measured signal, which is important when developing new techniques for characterizing tissue microstructure using diffusion MRI. Here we present MISST - a semi-analytical simulation software, which is based on a matrix method approach and computes diffusion signal for fully general, user specified pulse sequences and tissue models. Its key purpose is to provide a deep understanding of the restricted diffusion MRI signal for a wide range of realistic, fully flexible scanner acquisition protocols, in practical computational time.

Type: Proceedings paper
Title: Microstructure Imaging Sequence Simulation Toolbox
Event: 1st International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI)
Location: Athens, GREECE
Dates: 21 October 2016
ISBN-13: 978-3-319-46629-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-46630-9_4
Publisher version: https://doi.org/10.1117/12.2232554
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
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/1529435
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