Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data.
High Angular Resolution Diffusion Imaging (HARDI) is a type of brain imaging that collects a very large amount of data, and if many subjects are considered then it amounts to a big data framework (e.g., the human connectome project has 20 Terabytes of data). HARDI is also becoming increasingly relevant for clinical settings (e.g., detecting early cerebral ischemic changes in acute stroke, and in pre-clinical assessment of white matter-WM anatomy using tractography). Thus, this method is becoming a routine assessment in clinical settings. In such settings, the computation time is critical, and finding forms of reducing the processing time in high computation processes such as Diffusion Spectrum Imaging (DSI), a form of HARDI data, is very relevant to increase data-processing speed. Here we analyze a method for reducing the computation time of the dMRI-based axonal orientation distribution function h by using Monte Carlo sampling-based methods for voxel selection. Results evidenced a robust reduction in required data sampling of about 50 % without losing signal's quality. Moreover, we show that the convergence to the correct value in this type of Monte Carlo HARDI/DSI data-processing has a linear improvement in data-processing speed of the ODF determination. Although further improvements are needed, our results represent a promissory step for future processing time reduction in big data.
Algoritmi Centre, University of Minho, Braga, Portugal. Nicolas.Lori@algoritmi.uminho.pt.|Laboratory of Neuroimaging and Neuroscience (LANEN), Institute of Translational and Cognitive Neuroscience (INCyT), INECO Foundation Rosario, Favaloro University, Rosario, Argentina. Nicolas.Lori@algoritmi.uminho.pt.|Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Coimbra, Portugal. Nicolas.Lori@algoritmi.uminho.pt.|INECO Neurociencias Oroño, Grupo Oroño, Rosario, Argentina. Nicolas.Lori@algoritmi.uminho.pt.|Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Translational and Cognitive Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina. Nicolas.Lori@algoritmi.uminho.pt.
Nicolás F
NF
Lori
Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Translational and Cognitive Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.|National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.|Universidad Autónoma del Caribe, Barranquilla, Colombia.|Department of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile.|Centre of Excellence in Cognition and its Disorders, Australian Research Council (ACR), Sydney, Australia.
Augustin
A
Ibañez
Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
Rui
R
Lavrador
Center for Physics Computation (CFC), Faculty of Science and Technology, University of Coimbra, Coimbra, Portugal.|Maastricht University, Maastricht, Netherlands.|Eindhoven University of Technology, Eindhoven, Netherlands.
Lucia
L
Fonseca
Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
Carlos
C
Santos
Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.|Center for Physics Computation (CFC), Faculty of Science and Technology, University of Coimbra, Coimbra, Portugal.
Rui
R
Travasso
IETTA, University of Aveiro, Aveiro, Portugal.
Artur
A
Pereira
LIAC, University of Porto, Porto, Portugal.
Rosaldo
R
Rossetti
3B's, University of Minho, Braga, Portugal.
Nuno
N
Sousa
Algoritmi Centre, University of Minho, Braga, Portugal.
Victor
V
Alves
D001921:Brain / Q000033:anatomy & histology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009010:Monte Carlo Method
Axonal ODF; Diffusion MRI; Monte Carlo sampling methods; Optimization; White matter
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