التفاصيل البيبلوغرافية
| العنوان: |
Accelerating Fibre Orientation Estimation from Diffusion Weighted Magnetic Resonance Imaging Using GPUs |
| المؤلفون: |
Hernández, M, Guerrero, GD, Cecilia, JM, García, JM, Inuggi, A, Sotiropoulos, SN, Stotzka, R, Schiffers, M, Cotronis, Y |
| المساهمون: |
Stotzka, R, Schiffers, M, Cotronis, Y |
| المصدر: |
PDP |
| بيانات النشر: |
IEEE, 2016. |
| سنة النشر: |
2016 |
| مصطلحات موضوعية: |
medicine.diagnostic_test, Computer science, Central nervous system, Magnetic resonance imaging, Bioinformatics, computer.software_genre, medicine.anatomical_structure, Kernel (image processing), Voxel, medicine, computer, Algorithm, Diffusion MRI, Tractography |
| الوصف: |
Diffusion Weighted Magnetic Resonance Imaging (DWMRI) and tractography approaches are the only tools that can be utilized to estimate structural connections between different brain areas, non-invasively and in-vivo. A first step that is commonly utilized in these techniques includes the estimation of the underlying fibre orientations and their uncertainty in each voxel of the image. A popular method to achieve that is implemented in the FSL software, provided by the FMRIB Centre at University of Oxford, and is based on a Bayesian inference framework. Despite its popularity, the approach has high computational demands, taking normally more than 24 hours for analyzing a single subject. In this paper, we present a GPU-optimized version of the FSL tool that estimates fibre orientations. We report up to 85x of speed-up factor between the GPU and its sequential counterpart CPU-based version. © 2012 IEEE. |
| الوصول الحر: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e1fe6e13a208d3ee8e166ca6d169d2cTest
https://doi.org/10.1109/pdp.2012.46Test |
| حقوق: |
OPEN |
| رقم الانضمام: |
edsair.doi.dedup.....0e1fe6e13a208d3ee8e166ca6d169d2c |
| قاعدة البيانات: |
OpenAIRE |
