register_files_affine can be used for various rigid and affine registration of 3D volumes. It supports several similarity measures and allows flexible options. It is useful for co-registration of inter- and intra-modal medical images. Please see referenced papers for mathematical details of the algorithms. The estimated transformation can also be applied to other volumes/surfaces.
C Bhushan, JP Haldar, S Choi, AA Joshi, DW Shattuck, RM Leahy, "Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization", NeuroImage, 2015. doi: 10.1016/j.neuroimage.2015.03.050
C Bhushan, JP Haldar, AA Joshi, DW Shattuck, RM Leahy, "INVERSION: A robust method for co-registration of MPRAGE and diffusion MRI images", Joint Annual Meeting ISMRM-ESMRMB, Milan, Italy, 2014, p. 2583.
Abstract Poster
register_files_affine is a Matlab function and can be used with any Matlab script/function. It is tested with Matlab version R2012a, but should also work with later releases. To use register_files_affine extract the content of the downloaded zip to a directory and then add the directory to the Matlab path by runnning following in Matlab command:
% Assuming that files are extracted to C:\Users\myname\Documents\register_files_affine
addpath('C:\Users\myname\Documents\register_files_affine')
register_files_affine only supports NifTI-1 datasets as input files (.nii/.nii.gz only. .img/.hdr files are NOT supported). It uses NifTI-1 header information to correctly orient the 3D volumes. Other filetypes may work, however results could be unreliable. All output files are zipped and saved as .nii.gz.
Following syntax should be used call register_files_affine:
register_files_affine(moving_filename, static_filename, output_filename, opts);
where, static_filename is the filename (with full-path) of the volume used as registration template, moving_filename is the filename (with full-path) of the volume which will be registered to static_filename and output_filename is the filename (with full-path) with which registered output will be saved. Estimated registration parameters are also saved in a .mat file. opts is a matlab structure decscribing all the options.
opts.similarity is the only mandatory option which sets the similarity measure to be used for the registration. When other options are not specified, their respective default value (described later) is used. opts.similarity can be set to following values:
opts.dof can be used to specify degrees of freedom (dof) or number of parameters for registration. opts.dof can take following values.
Following matlab code describes all the options and their respective default values:
defaultoptions = struct( ...
'similarity', '', ... See comments above
'dof', 6, ... See comments above
'axis_translation', [], ... 1/2/3, defines the translation axes when dof<=2
'intensity_norm', '',... histeq/sigmoid/none - intensity normalization prior to registration, when empty sets appropriately based on similarity
'static_mask', [], ... filename of mask of static_filename
'moving_mask', [], ... filename of mask of moving_filename
'BST_masks', true, ... Interpret mask-files as masks saved by BrainSuite
'mask_op', [], ... 'and'/'or'; Use intersection or union of the masks for similarity measure. When empty sets appropriately depending on similarity
'pngout', false, ... save additional overlay images in png format
'reg_res', 1.8, ... Resampling resolution in mm (isotropic) used during registration
'verbose', false, ... Show optimization/processing details
'nbins', 128, ... Number of bins for histeq and MI based registration
'parzen_width', 8, ... Width of parzen window (in bins) for histogram estimation
'step_size', [], ... Step size for cost optimization, when empty sets appropriately depending on similarity
'nthreads', 6, ... Number of (possible) parallel threads to use
'init_opts', struct('init_method', 'search', 'search_range',[60 60 60], ...
'search_delta',[15 15 15], 'search_imres',5) ...
);
'opts.init_opts' (last option above) is a matlab structure which sets the initialization method for registration. When init_method is set to 'none', it assumes that images are already approximately aligned and skips any initialization - This can be helpful for refinement of alignment in images which are already coarsly aligned. 'search' methods performs coarse search over rotational parameters to find a good initial alignment. 'mask' method aligns the masks of the images to find an initial estimate - This can be helpful with when masks are 'good enough' and the mask-shape has useful information, specially with 'mi' and 'cr' similarity measures. Following matlab code describes the default values:
opts.init_opts = struct(...
'init_method', 'search', ... none/search/mask -- method of finding initial estimate of parameters
'search_range', [60 60 60], ... in degrees, defaults to -60 to 60
'search_delta', [15 15 15], ... search step in degrees
'search_imres', 5 ... approx. isotropic image resolution in mm for search
);
The affine transformation estimated by register_files_affine can also be applied to other volumes and surfaces by using included transform_data_affine. It can transform data (volumes/surfaces) across static and moving files' space.
Following syntax should be used call transform_data_affine:
transform_data_affine(data_file, data_coord, output_file, reg_moving_file, reg_static_file, reg_mat_file, method);
where,
moving_filename = '7_2014.bfc.nii.gz';
static_filename = '7_2014.dwi.nii.gz';
output_filename = '7_2014.bfc.rigid_reg.nii.gz';
opts = struct( ...
'similarity', 'bdp', ...
'dof', 6, ...
'static_mask', '7_2014.bfc.mask.nii.gz', ...
'moving_mask', '7_2014.dwi.mask.nii.gz', ...
'pngout', true, ... Write overlay images in png format
'reg_res', 2.8, ... Resampling resolution in mm
'nthreads', 12 ... Number of (possible) parallel threads to use
);
register_files_affine(moving_filename, static_filename, output_filename, opts);
% Transform moving file using cubic interpolation
transform_data_affine(moving_filename, 'moving', '7_2014.bfc.rigid_reg.cubic.nii.gz', ...
moving_filename, static_filename, ...
'7_2014.bfc.rigid_reg.rigid_registration_result.mat', 'cubic');
Output at matlab prompt on running above code:
Reading input data...
Found 4D static volume: 7_2014.dwi.nii.gz
BDP will use first volume for registration.
Setting/generating masks...
Matching centroids (approx. align)...
Matching resolution of the images...
Normalizing intensity of images...
Saved approx. aligned overlay PNG files.
Performing affine registration with 6 degrees of freedom...
Search-based initialization...
Scale 1 of 6 running...
Scale 2 of 6 running...
Scale 3 of 6 running...
Scale 4 of 6 running...
Scale 5 of 6 running...
Scale 6 of 6 running...
Refine: Scale 1 of 2 running...
Refine: Scale 2 of 2 running...
Saving output files...
Saved output overlay PNG files.
Finished transformation. Saved file to disk: 7_2014.bfc.rigid_reg.cubic.nii.gz
register_files_affine is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Please cite [1] and [2] if you use register_files_affine or its derivatives in your own work.
C Bhushan, JP Haldar, S Choi, AA Joshi, DW Shattuck, RM Leahy, "Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization", NeuroImage, 2015. doi: 10.1016/j.neuroimage.2015.03.050
C Bhushan, JP Haldar, AA Joshi, DW Shattuck, RM Leahy, "INVERSION: A robust method for co-registration of MPRAGE and diffusion MRI images", Joint Annual Meeting ISMRM-ESMRMB, Milan, Italy, 2014, p. 2583.
Abstract Poster
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register_files_affine is a general puropose affine registration tool for 3D images. It could be useful for data processing along with BrainSuite Diffusion Pipeline (BDP). Similar other useful utilities are available from http://neuroimage.usc.edu/neuro/Resources/BDPAddons.
Author: Chitresh Bhushan
register_files_affine makes use of components from the following software libraries/tools:
Tools for NIfTI and ANALYZE image (Code covered by the BSD License) http://www.mathworks.com/matlabcentral/fileexchange/8797 Copyright (c) 2009, Jimmy Shen All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ________________________________________________________________________________ multimodality non-rigid demon algorithm image registration (Code covered by the BSD License) http://www.mathworks.com/matlabcentral/fileexchange/21451-multimodality-non-rigid-demon-algorithm-image-registration Copyright (c) 2009, Dirk-Jan Kroon All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. 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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. 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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution * Neither the name of the The MathWorks, Inc. nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ________________________________________________________________________________ STRJOIN (Code covered by the BSD License) http://www.mathworks.com/matlabcentral/fileexchange/31862-strjoin Copyright (c) 2011, Kota Yamaguchi All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. 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