Reducing computation time by Monte Carlo method
| Autor: | Lori, N.F., Lavrador, R., Neto Fonseca, L., Santos, C., Travasso, R., Pereira, A., Rossetti, R., Sousa, N., Alves, V., Rocha, A., Correia, A.M., Adeli, H., Reis, L.P., Teixeira, M.M. |
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| Přispěvatelé: | Cardiovascular Biomechanics, Systemic Change |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Optimization
Data processing Mathematical optimization Orientation (computer vision) Computer science Computation Monte Carlo method Monte Carlo sampling methods computer.software_genre White Matter 030218 nuclear medicine & medical imaging Diffusion MRI 03 medical and health sciences 0302 clinical medicine Voxel Dynamic Monte Carlo method Axonal ODF computer Algorithm 030217 neurology & neurosurgery Tractography |
| Zdroj: | New Advances in Information Systems and Technologies, Vol. 2, 95-105 STARTPAGE=95;ENDPAGE=105;TITLE=New Advances in Information Systems and Technologies, Vol. 2 New Advances in Information Systems and Technologies ISBN: 9783319313061 WorldCIST (2) |
| ISSN: | 2194-5357 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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