Kerkelä, Leevi;
Nery, Fabio;
Hall, Matt;
Clark, Chris;
(2020)
Disimpy: A massively parallel Monte Carlo simulator for generating diffusion-weighted MRI data in Python.
Journal of Open Source Software
, 5
(52)
, Article 2527. 10.21105/joss.02527.
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Abstract
Disimpy is a simulator for generating diffusion-weighted magnetic resonance imaging (dMRI) data that is useful in the development and validation of new methods for data acquisition and analysis. Diffusion of water is modelled as an ensemble of random walkers whose trajectories are generated on an Nvidia (Nvidia Corporation, Santa Clara, California, United States) CUDA-capable (Nickolls, Buck, Garland, & Skadron, 2008) graphical processing unit (GPU). The massive parallelization results in a significant performance gain, enabling simulation experiments to be performed on standard laptop and desktop computers. Disimpy is written in Python (Python Software Foundation), making its source code very approachable and easily extensible.
| Type: | Article |
|---|---|
| Title: | Disimpy: A massively parallel Monte Carlo simulator for generating diffusion-weighted MRI data in Python |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.21105/joss.02527 |
| Publisher version: | https://doi.org/10.21105/joss.02527 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. |
| 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 Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Neurosciences Dept |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10185801 |
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