Bedpostx GPU

Tool for estimating multiple fibre orientations from diffussion MRI on NVIDIA GPUs
Part of FSL (FMRIB Software Library)
For information about the functionality of the tool, visit BEDPOSTX

The tool offers accelerations of more than 200 times using a single GPU compared to a single CPU core: 1 GPU ≈ 200 CPU cores.

Execution times in logarithmic scale of a single CPU core and a single GPU (NVIDIA K80) fitting ball & sticks model in a whole dataset. The application fits the model in a low resolution dataset with 106,910 voxels and in a high resolution dataset with 684,203 voxels. Different number of diffusion measurements (36/72/108/145/181/218/254/291) and number of fibres (1/2/3 with 6/9/12 parameters) are showed.

Speedup

Measurements	36	72	108	145	181	218	254	291
Low-res 1 fibre	96×	145×	167×	175×	183×	195×	202×	196×
Low-res 2 fibres	98×	149×	174×	180×	193×	206×	217×	207×
Low-res 3 fibres	92×	144×	172×	195×	210×	225×	235×	220×
High-res 1 fibre	99×	148×	171×	180×	214×	225×	233×	227×
High-res 2 fibres	109×	168×	196×	203×	215×	232×	238×	230×
High-res 3 fibres	96×	163×	194×	201×	209×	223×	236×	221×

Source code is distributed within FSL: FSL Wiki

CITATION

If you use Bedpostx GPU in publications, please cite this paper:

Hernández M, Guerrero GD, Cecilia JM, García JM, Inuggi A, Jbabdi S, Behrens TE, Sotiropoulos SN. Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs. PLoS One. 2013 Apr 29;8(4):e61892.

Publication Bedpostx GPU