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/* Copyright (c) 2008-2022 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/.
*/
#ifndef __math_average_space_h__
#define __math_average_space_h__
#include <unsupported/Eigen/MatrixFunctions>
#include <Eigen/SVD>
#include <Eigen/Geometry>
#include "transform.h"
#include "image.h"
#include "debug.h"
namespace MR
{
namespace Math
{
double matrix_average (vector<Eigen::MatrixXd> const &mat_in, Eigen::MatrixXd& mat_avg, bool verbose = false);
}
}
namespace MR {
Eigen::Matrix<default_type, 8, 4> get_cuboid_corners (const Eigen::Matrix<default_type, 4, 1>& xzx1);
Eigen::Matrix<default_type, 8, 4> get_bounding_box (const Header& header, const Eigen::Transform<default_type, 3, Eigen::Projective>& voxel2scanner);
Header compute_minimum_average_header (const vector<Header>& input_headers,
const vector<Eigen::Transform<default_type, 3, Eigen::Projective>>& transform_header_with,
int voxel_subsampling = 1,
Eigen::Matrix<default_type, 4, 1> padding = Eigen::Matrix<default_type, 4, 1>(1.0, 1.0, 1.0, 1.0));
template<class ImageType1, class ImageType2>
Header compute_minimum_average_header (
const ImageType1& im1,
const ImageType2& im2,
Eigen::Transform<default_type, 3, Eigen::Projective> transform_1 = Eigen::Transform<default_type, 3, Eigen::Projective>::Identity(),
Eigen::Transform<default_type, 3, Eigen::Projective> transform_2 = Eigen::Transform<default_type, 3, Eigen::Projective>::Identity(),
Eigen::Matrix<default_type, 4, 1> padding = Eigen::Matrix<default_type, 4, 1>(1.0, 1.0, 1.0, 1.0),
int voxel_subsampling = 1) {
vector<Eigen::Transform<default_type, 3, Eigen::Projective>> init_transforms {transform_1, transform_2};
vector<Header> headers {im1,im2};
return compute_minimum_average_header (headers, init_transforms, voxel_subsampling, padding);
}
}
#endif
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