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/*
* Copyright (c) 2008-2018 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/
*
* MRtrix3 is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty
* of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
*
* For more details, see http://www.mrtrix.org/
*/
#include "axes.h"
#include "header.h"
#include "mrtrix.h"
#include "phase_encoding.h"
#include "stride.h"
#include "transform.h"
#include "image_io/default.h"
#include "image_io/scratch.h"
#include "file/name_parser.h"
#include "formats/list.h"
namespace MR
{
const App::Option NoRealignOption
= App::Option ("norealign",
"do not realign transform to near-default RAS coordinate system (the "
"default behaviour on image load). This is useful to inspect the image "
"and/or header contents as they are actually stored in the header, "
"rather than as MRtrix interprets them.");
bool Header::do_not_realign_transform = false;
void Header::merge (const Header& H)
{
if (ndim() != H.ndim())
throw Exception ("dimension mismatch between image files for \"" + name() + "\"");
for (size_t n = 0; n < ndim(); ++n) {
if (size(n) != H.size(n))
throw Exception ("dimension mismatch between image files for \"" + name() + "\"");
if (stride(n) != H.stride(n))
throw Exception ("data strides differs image files for \"" + name() + "\"");
if (std::isfinite(spacing(n)) && std::isfinite(H.spacing(n)) && spacing(n) != H.spacing(n))
WARN ("voxel dimensions differ between image files for \"" + name() + "\"");
}
if ((transform().matrix() - H.transform().matrix()).cwiseAbs().maxCoeff() > 1.0e-6)
WARN ("transform matrices differ between image files for \"" + name() + "\"");;
if (datatype() != H.datatype())
throw Exception ("data types differ between image files for \"" + name() + "\"");
if (intensity_offset() != H.intensity_offset() || intensity_scale() != H.intensity_scale())
throw Exception ("scaling coefficients differ between image files for \"" + name() + "\"");
for (const auto& item : H.keyval())
if (keyval().find (item.first) == keyval().end())
keyval().insert (item);
}
namespace {
std::string short_description (const Header& H)
{
vector<std::string> dims;
for (size_t n = 0; n < H.ndim(); ++n)
dims.push_back (str(H.size(n)));
vector<std::string> vox;
for (size_t n = 0; n < H.ndim(); ++n)
vox.push_back (str(H.spacing(n)));
return " with dimensions " + join (dims, "x") + ", voxel spacing " + join (vox, "x") + ", datatype " + H.datatype().specifier();
}
}
Header Header::open (const std::string& image_name)
{
if (image_name.empty())
throw Exception ("no name supplied to open image!");
Header H;
try {
INFO ("opening image \"" + image_name + "\"...");
File::ParsedName::List list;
vector<int> num = list.parse_scan_check (image_name);
const Formats::Base** format_handler = Formats::handlers;
size_t item = 0;
H.name() = list[item].name();
for (; *format_handler; format_handler++) {
if ( (H.io = (*format_handler)->read (H)) )
break;
}
if (!*format_handler)
throw Exception ("unknown format for image \"" + H.name() + "\"");
assert (H.io);
H.format_ = (*format_handler)->description;
while (++item < list.size()) {
Header header (H);
std::unique_ptr<ImageIO::Base> io_handler;
header.name() = list[item].name();
if (!(io_handler = (*format_handler)->read (header)))
throw Exception ("image specifier contains mixed format files");
assert (io_handler);
H.merge (header);
H.io->merge (*io_handler);
}
if (num.size()) {
int a = 0, n = 0;
for (size_t i = 0; i < H.ndim(); i++)
if (H.stride(i))
++n;
H.axes_.resize (n + num.size());
for (size_t i = 0; i < num.size(); ++i) {
while (H.stride(a)) ++a;
H.size(a) = num[num.size()-1-i];
H.stride(a) = ++n;
}
H.name() = image_name;
}
H.sanitise();
if (!do_not_realign_transform)
H.realign_transform();
}
catch (Exception& E) {
throw Exception (E, "error opening image \"" + image_name + "\"");
}
INFO ("image \"" + H.name() + "\" opened" + short_description (H));
return H;
}
namespace {
inline bool check_strides_match (const vector<ssize_t>& a, const vector<ssize_t>& b)
{
size_t n = 0;
for (; n < std::min (a.size(), b.size()); ++n)
if (a[n] != b[n]) return false;
for (size_t i = n; i < a.size(); ++i)
if (a[i] > 1) return false;
for (size_t i = n; i < b.size(); ++i)
if (b[i] > 1) return false;
return true;
}
}
Header Header::create (const std::string& image_name, const Header& template_header)
{
if (image_name.empty())
throw Exception ("no name supplied to open image!");
Header H (template_header);
const auto previous_datatype = H.datatype();
try {
INFO ("creating image \"" + image_name + "\"...");
H.keyval()["mrtrix_version"] = App::mrtrix_version;
if (App::project_version)
H.keyval()["project_version"] = App::project_version;
std::string cmd = App::argv[0];
for (int n = 1; n < App::argc; ++n)
cmd += std::string(" \"") + App::argv[n] + "\"";
cmd += std::string (" (version=") + App::mrtrix_version;
if (App::project_version)
cmd += std::string (", project=") + App::project_version;
cmd += ")";
add_line (H.keyval()["command_history"], cmd);
H.sanitise();
File::NameParser parser;
parser.parse (image_name);
vector<int> Pdim (parser.ndim());
vector<int> Hdim (H.ndim());
for (size_t i = 0; i < H.ndim(); ++i)
Hdim[i] = H.size(i);
H.name() = image_name;
const vector<ssize_t> strides (Stride::get_symbolic (H));
const Formats::Base** format_handler = Formats::handlers;
for (; *format_handler; format_handler++)
if ((*format_handler)->check (H, H.ndim() - Pdim.size()))
break;
if (!*format_handler) {
const std::string basename = Path::basename (image_name);
const size_t extension_index = basename.find_last_of (".");
if (extension_index == std::string::npos)
throw Exception ("unknown format for image \"" + image_name + "\" (no file extension specified)");
else
throw Exception ("unknown format for image \"" + image_name + "\" (unsupported file extension: " + basename.substr (extension_index) + ")");
}
const vector<ssize_t> strides_aftercheck (Stride::get_symbolic (H));
if (!check_strides_match (strides, strides_aftercheck)) {
INFO("output strides for image " + image_name + " modified to " + str(strides_aftercheck) +
" - requested strides " + str(strides) + " are not supported in " + (*format_handler)->description + " format");
}
H.datatype().set_byte_order_native();
int a = 0;
for (size_t n = 0; n < Pdim.size(); ++n) {
while (a < int(H.ndim()) && H.stride(a))
a++;
Pdim[n] = Hdim[a];
}
parser.calculate_padding (Pdim);
Header header (H);
vector<int> num (Pdim.size());
if (image_name != "-")
H.name() = parser.name (num);
H.io = (*format_handler)->create (H);
assert (H.io);
H.format_ = (*format_handler)->description;
auto get_next = [](decltype(num)& pos, const decltype(Pdim)& limits) {
size_t axis = 0;
while (axis < limits.size()) {
pos[axis]++;
if (pos[axis] < limits[axis])
return true;
pos[axis] = 0;
axis++;
}
return false;
};
while (get_next (num, Pdim)) {
header.name() = parser.name (num);
std::shared_ptr<ImageIO::Base> io_handler ((*format_handler)->create (header));
assert (io_handler);
H.merge (header);
H.io->merge (*io_handler);
}
if (Pdim.size()) {
int a = 0, n = 0;
ssize_t next_stride = 0;
for (size_t i = 0; i < H.ndim(); ++i) {
if (H.stride(i)) {
++n;
next_stride = std::max (next_stride, abs (H.stride(i)));
}
}
H.axes_.resize (n + Pdim.size());
for (size_t i = 0; i < Pdim.size(); ++i) {
while (H.stride(a))
++a;
H.size(a) = Pdim[i];
H.stride(a) = ++next_stride;
}
H.name() = image_name;
}
H.io->set_image_is_new (true);
H.io->set_readwrite (true);
H.sanitise();
}
catch (Exception& E) {
throw Exception (E, "error creating image \"" + image_name + "\"");
}
DataType new_datatype = H.datatype();
if (new_datatype != previous_datatype) {
new_datatype.unset_flag (DataType::BigEndian);
new_datatype.unset_flag (DataType::LittleEndian);
if (new_datatype != previous_datatype)
WARN (std::string ("requested datatype (") + previous_datatype.specifier() + ") not supported - substituting with " + H.datatype().specifier());
}
INFO ("image \"" + H.name() + "\" created" + short_description (H));
return H;
}
Header Header::scratch (const Header& template_header, const std::string& label)
{
Header H (template_header);
H.name() = label;
H.reset_intensity_scaling();
H.sanitise();
H.format_ = "scratch image";
H.io = make_unique<ImageIO::Scratch> (H);
return H;
}
std::ostream& operator<< (std::ostream& stream, const Header& H)
{
stream << "\"" << H.name() << "\", " << H.datatype().specifier() << ", size [ ";
for (size_t n = 0; n < H.ndim(); ++n) stream << H.size(n) << " ";
stream << "], voxel size [ ";
for (size_t n = 0; n < H.ndim(); ++n) stream << H.spacing(n) << " ";
stream << "], strides [ ";
for (size_t n = 0; n < H.ndim(); ++n) stream << H.stride(n) << " ";
stream << "]";
return stream;
}
std::string Header::description (bool print_all) const
{
std::string desc (
"************************************************\n"
"Image: \"" + name() + "\"\n"
"************************************************\n");
desc += " Dimensions: ";
size_t i;
for (i = 0; i < ndim(); i++) {
if (i) desc += " x ";
desc += str (size(i));
}
desc += "\n Voxel size: ";
for (i = 0; i < ndim(); i++) {
if (i) desc += " x ";
desc += std::isnan (spacing(i)) ? "?" : str (spacing(i), 6);
}
desc += "\n";
desc += " Data strides: [ ";
auto strides (Stride::get (*this));
Stride::symbolise (strides);
for (i = 0; i < ndim(); i++)
desc += stride(i) ? str (strides[i]) + " " : "? ";
desc += "]\n";
if (io) {
desc += std::string(" Format: ") + (format() ? format() : "undefined") + "\n";
desc += std::string (" Data type: ") + ( datatype().description() ? datatype().description() : "invalid" ) + "\n";
desc += " Intensity scaling: offset = " + str (intensity_offset()) + ", multiplier = " + str (intensity_scale()) + "\n";
}
desc += " Transform: ";
for (size_t i = 0; i < 3; i++) {
if (i) desc += " ";
for (size_t j = 0; j < 4; j++) {
char buf[14], buf2[14];
snprintf (buf, 14, "%.4g", transform() (i,j));
snprintf (buf2, 14, "%12.10s", buf);
desc += buf2;
}
desc += "\n";
}
for (const auto& p : keyval()) {
std::string key = " " + p.first + ": ";
if (key.size() < 21)
key.resize (21, ' ');
const auto entries = split_lines (p.second);
bool shorten = (!print_all && entries.size() > 5);
desc += key + entries[0] + "\n";
if (entries.size() > 5) {
key = " [" + str(entries.size()) + " entries] ";
if (key.size() < 21)
key.resize (21, ' ');
}
else key = " ";
for (size_t n = 1; n < (shorten ? size_t(2) : entries.size()); ++n) {
desc += key + entries[n] + "\n";
key = " ";
}
if (!print_all && entries.size() > 5) {
desc += key + "...\n";
for (size_t n = entries.size()-2; n < entries.size(); ++n )
desc += key + entries[n] + "\n";
}
}
return desc;
}
void Header::sanitise_voxel_sizes ()
{
if (ndim() < 3) {
INFO ("image contains fewer than 3 dimensions - adding extra dimensions");
axes_.resize (3);
}
if (!std::isfinite (spacing(0)) || !std::isfinite (spacing(1)) || !std::isfinite (spacing(2))) {
WARN ("invalid voxel sizes - resetting to sane defaults");
default_type mean_vox_size = 0.0;
size_t num_valid_vox = 0;
for (size_t i = 0; i < 3; ++i) {
if (std::isfinite(spacing(i))) {
++num_valid_vox;
mean_vox_size += spacing(i);
}
}
mean_vox_size = num_valid_vox ? mean_vox_size / num_valid_vox : 1.0;
for (size_t i = 0; i < 3; ++i)
if (!std::isfinite(spacing(i)))
spacing(i) = mean_vox_size;
}
}
void Header::sanitise_transform ()
{
if (!transform().matrix().allFinite()) {
WARN ("transform matrix contains invalid entries - resetting to sane defaults");
transform() = Transform::get_default (*this);
}
}
void Header::realign_transform ()
{
// find which row of the transform is closest to each scanner axis:
size_t perm [3];
bool flip[3];
Axes::get_permutation_to_make_axial (transform(), perm, flip);
// check if image is already near-axial, return if true:
if (perm[0] == 0 && perm[1] == 1 && perm[2] == 2 &&
!flip[0] && !flip[1] && !flip[2])
return;
auto M (transform());
auto translation = M.translation();
// modify translation vector:
for (size_t i = 0; i < 3; ++i) {
if (flip[i]) {
const default_type length = (size(i)-1) * spacing(i);
auto axis = M.matrix().col (i);
for (size_t n = 0; n < 3; ++n) {
axis[n] = -axis[n];
translation[n] -= length*axis[n];
}
}
}
// switch and/or invert rows if needed:
for (size_t i = 0; i < 3; ++i) {
auto row = M.matrix().row(i).head<3>();
row = Eigen::RowVector3d (row[perm[0]], row[perm[1]], row[perm[2]]);
if (flip[i])
stride(i) = -stride(i);
}
// copy back transform:
transform() = std::move (M);
// switch axes to match:
Axis a[] = {
axes_[perm[0]],
axes_[perm[1]],
axes_[perm[2]]
};
axes_[0] = a[0];
axes_[1] = a[1];
axes_[2] = a[2];
INFO ("Axes and transform of image \"" + name() + "\" altered to approximate RAS coordinate system");
// If there's any phase encoding direction information present in the
// header, it's necessary here to update it according to the
// flips / permutations that have taken place
auto pe_scheme = PhaseEncoding::get_scheme (*this);
if (pe_scheme.rows()) {
for (ssize_t row = 0; row != pe_scheme.rows(); ++row) {
Eigen::VectorXd new_line (pe_scheme.row (row));
for (ssize_t axis = 0; axis != 3; ++axis) {
new_line[axis] = pe_scheme(row, perm[axis]);
if (new_line[axis] && flip[axis])
new_line[axis] = -new_line[axis];
}
pe_scheme.row (row) = new_line;
}
PhaseEncoding::set_scheme (*this, pe_scheme);
INFO ("Phase encoding scheme has been modified according to internal header transform realignment");
}
// If there's any slice encoding direction information present in the
// header, that's also necessary to update here
auto slice_encoding_it = keyval().find ("SliceEncodingDirection");
if (slice_encoding_it != keyval().end()) {
const Eigen::Vector3 orig_dir (Axes::id2dir (slice_encoding_it->second));
Eigen::Vector3 new_dir;
for (size_t axis = 0; axis != 3; ++axis)
new_dir[axis] = orig_dir[perm[axis]] * (flip[axis] ? -1.0 : 1.0);
slice_encoding_it->second = Axes::dir2id (new_dir);
INFO ("Slice encoding direction has been modified according to internal header transform realignment");
}
}
}
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