Reducing computation time by Monte Carlo method: an application in determining axonal orientation distribution function

N.F. Lori, R. Lavrador, L. Neto Fonseca, C. Santos, R. Travasso, A. Pereira, R. Rossetti, N. Sousa, V. Alves

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Abstract

Diffusion MRI (dMRI) is highly sensitive in detecting early cerebral ischemic changes in acute stroke, and in pre-clinical assessment of white matter (WM) anatomy using tractography, thus being an important component of health informatics. In clinical settings, the computation time is critical, and so finding forms of reducing the processing time in high computation processes such as Diffusion Spectrum Imaging (DSI) dMRI data processing is extremely relevant. We analyse here a method for reducing the computation of the dMRI-based axonal orientation distribution function h by using a Monte Carlo sampling-based methods for voxel selection, and so obtained a reduction in required data sampling of about 20%. In this work we show that the convergence to the correct value in this type of dMRI data-processing is linear and not exponential, implying that the Monte Carlo approach in this type of dMRI data processing improves its speed, but further improvements are needed.

Original languageEnglish
Title of host publicationNew Advances in Information Systems and Technologies, Vol. 2
EditorsA. Rocha, A.M. Correia, H. Adeli, L.P. Reis, M.M. Teixeira
Place of PublicationBerlin
PublisherSpringer
Pages95-105
Number of pages11
ISBN (Electronic)978-3-319-31307-8
ISBN (Print)9783319313061
DOIs
Publication statusPublished - 2016
Event4th World Conference on Information Systems and Technologies (WorldCist 2016), March 22-24, 2016, Recife, Brazil - Mercure Recife Mar Hotel Conventions, Recife, Brazil
Duration: 22 Mar 201624 Mar 2016
https://worldcist2016.wordpress.com/

Publication series

NameAdvances in Intelligent Systems and Computing
Volume445
ISSN (Print)21945357

Conference

Conference4th World Conference on Information Systems and Technologies (WorldCist 2016), March 22-24, 2016, Recife, Brazil
Abbreviated titleWorldCist 2016
Country/TerritoryBrazil
CityRecife
Period22/03/1624/03/16
Internet address

Keywords

  • Axonal ODF
  • Diffusion MRI
  • Monte Carlo sampling methods
  • Optimization
  • White Matter

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