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samples.txt
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####################################################################################
# This is a gradient scheme for diffusion MRI acquisition, generated from the
# online Q space sampling script at
# http://www.emmanuelcaruyer.com/q-space-sampling.php. Use this
# gradient scheme freely for your simulations, or real acquisition on an MR
# scanner. Do not forget to cite the relevant article [1].
#
# 1. Caruyer, Emmanuel, Christophe Lenglet, Guillermo Sapiro, and Rachid Deriche.
# "Design of multishell sampling schemes with uniform coverage in diffusion MRI."
# Magnetic Resonance in Medicine 69, no. 6 (2013): 1534-1540.
#
####################################################################################
# THERE IS NO WARRANTY FOR THIS SAMPLING SCHEME, TO THE EXTENT PERMITTED BY #
# APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS #
# AND/OR OTHER PARTIES PROVIDE THE SAMPLING SCHEME “AS IS” WITHOUT WARRANTY OF #
# ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE #
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE #
# ENTIRE RISK AS TO THE QUALITY OF THE SAMPLING SCHEME IS WITH YOU. SHOULD THE #
# SAMPLING SCHEME PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, #
# REPAIR OR CORRECTION. #
####################################################################################
#shell u_x u_y u_z
2 0.625 0.776 0.076
2 0.745 -0.623 0.237
1 0.234 -0.093 -0.968
2 -0.025 0.095 0.995
2 0.853 0.004 -0.522
2 0.155 -0.904 -0.399
2 0.025 0.716 -0.698
1 -0.966 -0.107 -0.236
2 -0.773 -0.147 -0.617
2 -0.547 0.509 0.664
2 -0.607 -0.599 0.523
2 -0.497 0.359 -0.790
1 0.077 -0.990 0.121
2 -0.355 -0.646 -0.676
2 0.999 -0.029 0.046
2 -0.186 0.962 -0.199
2 -0.417 -0.201 0.886
1 -0.748 0.566 0.346
2 -0.702 0.677 0.224
2 -0.886 -0.432 -0.166
2 0.261 0.956 -0.133
2 -0.385 -0.184 -0.904
1 -0.481 -0.704 -0.522
2 -0.125 0.566 0.815
2 -0.435 0.716 -0.546
2 -0.888 -0.352 0.294
2 0.872 -0.250 0.421
1 -0.277 0.524 -0.805
2 0.001 0.361 -0.932
2 0.258 0.904 0.341
2 0.894 -0.335 -0.299
2 0.514 -0.165 -0.842
1 0.723 0.483 -0.494
2 0.415 -0.906 -0.084
2 -0.678 -0.536 -0.503
2 -0.316 -0.814 0.488
2 0.308 -0.143 0.941
1 0.561 0.077 0.824
2 0.681 0.290 -0.672
2 0.922 -0.381 0.061
2 -0.035 -0.770 -0.636
2 0.707 0.678 -0.199
1 0.216 -0.779 -0.588
2 -0.154 0.863 -0.481
2 -0.705 0.142 -0.695
2 -0.453 0.750 0.482
2 -0.146 -0.401 -0.904
1 0.724 -0.594 0.350
2 0.318 0.524 -0.790
2 -0.934 -0.158 -0.320
2 -0.011 -0.995 -0.097
2 -0.754 0.282 0.594
1 -0.523 -0.842 0.134
2 -0.528 0.817 -0.231
2 0.541 0.760 0.359
2 0.258 -0.268 -0.928
2 -0.972 -0.079 0.222
1 0.759 -0.058 -0.649
2 -0.227 0.562 -0.795
2 0.565 0.358 0.744
2 -0.686 0.495 -0.532
2 0.478 0.842 -0.252
1 -0.217 -0.655 0.723
2 0.178 0.134 -0.975
2 -0.723 0.538 0.433
2 0.879 0.472 -0.066
2 0.075 0.936 -0.344
1 -0.148 -0.493 -0.857
2 0.266 -0.707 -0.656
2 -0.664 -0.035 0.747
2 -0.549 0.005 -0.836
2 0.787 -0.617 -0.004
1 0.978 -0.175 -0.112
2 0.371 0.921 0.116
2 -0.956 0.100 -0.277
2 0.520 0.477 -0.708
2 -0.820 -0.381 -0.427
1 0.492 -0.871 0.013
2 -0.218 0.962 0.165
2 0.099 -0.117 0.988