void run ()
{
auto sh_data = Image<value_type>::open(argument[0]);
Math::SH::check (sh_data);
auto amp_header = sh_data.original_header();
Eigen::MatrixXd directions;
if (get_options("gradient").size()) {
Eigen::MatrixXd grad;
grad = load_matrix(argument[1]);
DWI::Shells shells (grad);
directions = DWI::gen_direction_matrix (grad, shells.largest().get_volumes());
} else {
directions = load_matrix(argument[1]);
}
if (!directions.rows())
throw Exception ("no directions found in input directions file");
std::stringstream dir_stream;
for (ssize_t d = 0; d < directions.rows() - 1; ++d)
dir_stream << directions(d,0) << "," << directions(d,1) << "\n";
dir_stream << directions(directions.rows() - 1,0) << "," << directions(directions.rows() - 1,1);
amp_header.keyval().insert(std::pair<std::string, std::string> ("directions", dir_stream.str()));
amp_header.size(3) = directions.rows();
Stride::set_from_command_line (amp_header, Stride::contiguous_along_axis (3));
amp_header.datatype() = DataType::from_command_line (DataType::Float32);
auto amp_data = Image<value_type>::create(argument[2], amp_header);
SH2Amp sh2amp (directions, Math::SH::LforN (sh_data.size(3)), get_options("nonnegative").size());
ThreadedLoop("computing amplitudes", sh_data, 0, 3, 2).run(sh2amp, sh_data, amp_data);
}
void run ()
{
Image::Buffer<value_type> dwi_data (argument[0]);
if (dwi_data.ndim() != 4)
throw Exception ("dwi image should contain 4 dimensions");
Math::Matrix<value_type> grad = DWI::get_valid_DW_scheme<value_type> (dwi_data);
DWI::Shells shells (grad);
// Keep the b=0 shell (may be used for normalisation), but force single non-zero shell
shells.select_shells (true, true);
Math::Matrix<value_type> DW_dirs = DWI::gen_direction_matrix (grad, shells.largest().get_volumes());
Options opt = get_options ("lmax");
lmax = opt.size() ? opt[0][0] : Math::SH::LforN (shells.largest().count());
INFO ("calculating even spherical harmonic components up to order " + str (lmax));
Math::Matrix<value_type> HR_dirs;
Math::Matrix<value_type> HR_SHT;
opt = get_options ("normalise");
if (opt.size()) {
normalise = true;
opt = get_options ("directions");
if (opt.size())
HR_dirs.load (opt[0][0]);
else
DWI::Directions::electrostatic_repulsion_300 (HR_dirs);
Math::SH::init_transform (HR_SHT, HR_dirs, lmax);
}
// set Lmax
int i;
for (i = 0; Math::SH::NforL(i) < shells.largest().count(); i += 2);
i -= 2;
if (lmax > i) {
WARN ("not enough data for SH order " + str(lmax) + ", falling back to " + str(i));
lmax = i;
}
INFO("setting maximum even spherical harmonic order to " + str(lmax));
// Setup response function
int num_RH = (lmax + 2)/2;
Math::Vector<value_type> sigs(num_RH);
std::vector<value_type> AL (lmax+1);
Math::Legendre::Plm_sph<value_type>(&AL[0], lmax, 0, 0);
for (int l = 0; l <= lmax; l += 2) sigs[l/2] = AL[l];
Math::Vector<value_type> response(num_RH);
Math::SH::SH2RH(response, sigs);
opt = get_options ("filter");
Math::Vector<value_type> filter;
if (opt.size()) {
filter.load (opt[0][0]);
if (filter.size() <= response.size())
throw Exception ("not enough filter coefficients supplied for lmax" + str(lmax));
for (int i = 0; i <= lmax/2; i++) response[i] *= filter[i];
INFO ("using initial filter coefficients: " + str (filter));
}
Math::SH::Transform<value_type> FRT_SHT(DW_dirs, lmax);
FRT_SHT.set_filter(response);
Image::Header qbi_header (dwi_data);
qbi_header.dim(3) = Math::SH::NforL (lmax);
qbi_header.datatype() = DataType::Float32;
Image::Stride::set (qbi_header, Image::Stride::contiguous_along_axis (3, dwi_data));
Image::Buffer<value_type> qbi_data (argument[1], qbi_header);
opt = get_options ("mask");
if (opt.size()) {
Image::Buffer<bool> mask_data (opt[0][0]);
Image::ThreadedLoop ("estimating dODFs using Q-ball imaging...", dwi_data, 0, 3)
.run (DWI2QBI (FRT_SHT.mat_A2SH(), HR_SHT, shells), mask_data.voxel(), dwi_data.voxel(), qbi_data.voxel());
}
else
Image::ThreadedLoop ("estimating dODFs using Q-ball imaging...", dwi_data, 0, 3)
.run (DWI2QBI (FRT_SHT.mat_A2SH(), HR_SHT, shells), dwi_data.voxel(), qbi_data.voxel());
}
void run ()
{
auto amp = Image<value_type>::open (argument[0]).with_direct_io (3);
Header header (amp);
std::vector<size_t> bzeros, dwis;
Eigen::MatrixXd dirs;
auto opt = get_options ("directions");
if (opt.size()) {
dirs = load_matrix (opt[0][0]);
}
else {
auto hit = header.keyval().find ("directions");
if (hit != header.keyval().end()) {
std::vector<default_type> dir_vector;
for (auto line : split_lines (hit->second)) {
auto v = parse_floats (line);
dir_vector.insert (dir_vector.end(), v.begin(), v.end());
}
dirs.resize(dir_vector.size() / 2, 2);
for (size_t i = 0; i < dir_vector.size(); i += 2) {
dirs(i/2, 0) = dir_vector[i];
dirs(i/2, 1) = dir_vector[i+1];
}
}
else {
auto grad = DWI::get_valid_DW_scheme (amp);
DWI::Shells shells (grad);
shells.select_shells (true, true);
if (shells.smallest().is_bzero())
bzeros = shells.smallest().get_volumes();
dwis = shells.largest().get_volumes();
dirs = DWI::gen_direction_matrix (grad, dwis);
}
}
auto sh2amp = DWI::compute_SH2amp_mapping (dirs, true, 8);
bool normalise = get_options ("normalise").size();
if (normalise && !bzeros.size())
throw Exception ("the normalise option is only available if the input data contains b=0 images.");
header.size (3) = sh2amp.cols();
Stride::set_from_command_line (header);
auto SH = Image<value_type>::create (argument[1], header);
Amp2SHCommon common (sh2amp, bzeros, dwis, normalise);
opt = get_options ("rician");
if (opt.size()) {
auto noise = Image<value_type>::open (opt[0][0]).with_direct_io();
ThreadedLoop ("mapping amplitudes to SH coefficients", amp, 0, 3)
.run (Amp2SH (common), SH, amp, noise);
}
else {
ThreadedLoop ("mapping amplitudes to SH coefficients", amp, 0, 3)
.run (Amp2SH (common), SH, amp);
}
}
