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define.h.in
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define.h.in
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// Added by Adrien Kaiser : the path to the file "tensorGK.dat"
#define GK_Table "${GK_Table_dir}/tensorGK.dat"
#define GK_Table_Text "# tensor.dat (8/10/06)\n\
#\n\
# Creator: Gordon Kindlmann\n\
#\n\
# This file contains distributions of antipodal pairs of points that\n\
# are distributed on the unit sphere according to Coulomb repulsion.\n\
# These vectors are used by the diffusion tensor sequence. The first\n\
# number in each group is the number N of (X,Y,Z) triplets in the set.\n\
# This file contains gradient sets for N = 6...129.\n\
#\n\
# NOTE: The difference between repelling antipodal point-pairs and\
# repelling points is vital for diffusion weighted imaging, as direction\n\
# V and -V induce the same diffusion weighting. Thus, this file\
# overcomes the fundamental limitations in the previous version\n\
# (Bryan Mock, 5/26/00), which allowed V and (something very close to)\n\
# -V to occur in the same set, especially for even N. This also led to\n\
# poor sampling of the space of fiber orientations, reducing the sampling\n\
# efficiency by (theoretically) as much as 50%.\n\
#\n\
# These distributions were computed with the tenGradientGenerate()\n\
# function in the \"ten\" library of Teem, written by Gordon Kindlmann.\n\
# See <http://teem.sf.net> for download info. For each N, about a\n\
# thousand different gradient distributions were computed, using\n\
# different seeds for the random number generator, and the lowest-\n\
# potential configuration was used.\n\
#\n\
50\n\
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