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/* Copyright (c) 2008-2025 the MRtrix3 contributors.
*
* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/.
*
* Covered Software is provided under this License on an "as is"
* basis, without warranty of any kind, either expressed, implied, or
* statutory, including, without limitation, warranties that the
* Covered Software is free of defects, merchantable, fit for a
* particular purpose or non-infringing.
* See the Mozilla Public License v. 2.0 for more details.
*
* For more details, see http://www.mrtrix.org/.
*/
#include "command.h"
#include "progressbar.h"
#include "math/rng.h"
#include "dwi/directions/file.h"
#include "file/ofstream.h"
#include <array>
#include <random>
#include <algorithm>
using namespace MR;
using namespace App;
void usage ()
{
AUTHOR = "J-Donald Tournier (jdtournier@gmail.com)";
SYNOPSIS = "Splice / merge multiple sets of directions in such a way as to maintain near-optimality upon truncation";
ARGUMENTS
+ Argument ("subsets", "the number of subsets (eg. phase encoding directions) per b-value").type_integer(1,10000)
+ Argument ("bvalue files", "the b-value and sets of corresponding files, in order").type_text().allow_multiple()
+ Argument ("out", "the output directions file, with each row listing "
"the X Y Z gradient directions, the b-value, and an index representing "
"the phase encode direction").type_file_out();
OPTIONS
+ Option ("unipolar_weight",
"set the weight given to the unipolar electrostatic repulsion model compared to the "
"bipolar model (default: 0.2).")
+ Argument ("value").type_float(0.0, 1.0);
}
using value_type = double;
using Direction = Eigen::Matrix<value_type,3,1>;
using DirectionSet = vector<Direction>;
struct OutDir { MEMALIGN(OutDir)
Direction d;
size_t b;
size_t pe;
};
inline std::ostream& operator<< (std::ostream& stream, const OutDir& d) {
stream << "[ " << d.d << "], " << d.b << ", " << d.pe << " ]";
return stream;
}
void run ()
{
size_t num_subsets = argument[0];
value_type unipolar_weight = App::get_option_value ("unipolar_weight", 0.2);
value_type bipolar_weight = 1.0 - unipolar_weight;
vector<vector<DirectionSet>> dirs;
vector<value_type> bvalue ((argument.size() - 2) / (1+num_subsets));
INFO ("expecting " + str(bvalue.size()) + " b-values");
if (bvalue.size()*(1+num_subsets) + 2 != argument.size())
throw Exception ("inconsistent number of arguments");
// read them in:
size_t current = 1, nb = 0;
while (current < argument.size()-1) {
bvalue[nb] = to<value_type> (argument[current++]);
vector<DirectionSet> d;
for (size_t i = 0; i < num_subsets; ++i) {
auto m = DWI::Directions::load_cartesian (argument[current++]);
DirectionSet set;
for (ssize_t r = 0; r < m.rows(); ++r)
set.push_back (Direction (m(r,0), m(r,1), m(r,2)));
d.push_back (set);
}
INFO ("found b = " + str(bvalue[nb]) + ", " +
str ([&]{ vector<size_t> s; for (auto& n : d) s.push_back (n.size()); return s; }()) + " volumes");
dirs.push_back (d);
++nb;
}
size_t total = [&]{ size_t n = 0; for (auto& d : dirs) for (auto& m : d) n += m.size(); return n; }();
INFO ("found total of " + str(total) + " volumes") ;
// pick random direction from first direction set:
std::random_device rd;
std::mt19937 rng (rd());
size_t first = std::uniform_int_distribution<size_t> (0, dirs[0][0].size()-1)(rng);
vector<OutDir> merged;
auto push = [&](size_t b, size_t p, size_t n)
{
merged.push_back ({ Direction (dirs[b][p][n][0], dirs[b][p][n][1], dirs[b][p][n][2]), b, p });
dirs[b][p].erase (dirs[b][p].begin()+n);
};
auto energy_pair = [&](const Direction& a, const Direction& b)
{
// use combination of mono- and bi-polar electrostatic repulsion models
// to ensure adequate coverage of eddy-current space as well as
// orientation space.
// By default, use a moderate bias, favouring the bipolar model.
return (unipolar_weight+bipolar_weight) / (b-a).norm()
+ bipolar_weight / (b+a).norm();
};
auto energy = [&](size_t b, size_t p, size_t n)
{
value_type E = 0.0;
for (auto& d : merged)
if (d.b == b)
E += energy_pair (d.d, dirs[b][p][n]);
return E;
};
auto find_lowest_energy_direction = [&](size_t b, size_t p)
{
size_t best = 0;
value_type bestE = std::numeric_limits<value_type>::max();
for (size_t n = 0; n < dirs[b][p].size(); ++n) {
value_type E = energy (b, p, n);
if (E < bestE) {
bestE = E;
best = n;
}
}
return best;
};
vector<float> fraction;
for (auto& d : dirs) {
size_t n = 0;
for (auto& m : d)
n += m.size();
fraction.push_back (float (n) / float (total));
};
push (0, 0, first);
vector<size_t> counts (bvalue.size(), 0);
++counts[0];
auto num_for_b = [&](size_t b) {
size_t n = 0;
for (auto& d : merged)
if (d.b == b)
++n;
return n;
};
size_t nPE = num_subsets > 1 ? 1 : 0;
while (merged.size() < total) {
// find shell with shortfall in numbers:
size_t b = 0, n;
value_type fraction_diff = std::numeric_limits<value_type>::max();
for (n = 0; n < bvalue.size(); ++n) {
value_type f_diff = float(num_for_b(n)) / float (merged.size()) - fraction[n];
if (f_diff < fraction_diff && dirs[n][nPE].size()) {
fraction_diff = f_diff;
b = n;
}
}
// find most distant direction for that shell & in the current PE direction:
n = find_lowest_energy_direction (b, nPE);
if (dirs[b][nPE].size())
push (b, nPE, n);
else
WARN ("no directions remaining in b=" + str (bvalue[b]) + " shell for PE direction " + str(n) + " - PE directions will not cycle through perfectly");
// update PE direction
++nPE;
if (nPE >= num_subsets)
nPE = 0;
}
// write-out:
File::OFStream out (argument[argument.size()-1]);
for (auto& d : merged)
out << MR::printf ("%#20.15f %#20.15f %#20.15f %5d %3d\n",
d.d[0], d.d[1], d.d[2],
int (bvalue[d.b]), int (d.pe+1));
}
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