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Add regress out program, experimental
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#include "../dep/laynii_lib.h" | ||
#include <sstream> | ||
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int show_help(void) { | ||
printf( | ||
"LN2_REGRESS_OUT: Regress one timeseries from another, voxel-wise.\n" | ||
"\n" | ||
"Usage:\n" | ||
" LN2_REGRESS_OUT -input input.nii\n" | ||
" ../LN2_REGRESS_OUT -input input.nii\n" | ||
"\n" | ||
"Options:\n" | ||
" -help : Show this help.\n" | ||
" -input1 : First timeseries nifti (4D)" | ||
" -input2 : Second timeseries nifti (4D)" | ||
" -output : (Optional) Output basename for all outputs.\n" | ||
" -debug : (Optional) Save extra intermediate outputs.\n" | ||
"\n" | ||
"\n"); | ||
return 0; | ||
} | ||
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int main(int argc, char* argv[]) { | ||
nifti_image *nii1 = NULL, *nii2 = NULL; | ||
char *fin1 = NULL, *fin2 = NULL, *fout = NULL; | ||
int ac; | ||
bool mode_debug = false; | ||
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// Process user options | ||
if (argc < 2) return show_help(); | ||
for (ac = 1; ac < argc; ac++) { | ||
if (!strncmp(argv[ac], "-h", 2)) { | ||
return show_help(); | ||
} else if (!strcmp(argv[ac], "-input1")) { | ||
if (++ac >= argc) { | ||
fprintf(stderr, "** missing argument for -input1\n"); | ||
return 1; | ||
} | ||
fin1 = argv[ac]; | ||
fout = argv[ac]; | ||
} else if (!strcmp(argv[ac], "-input2")) { | ||
if (++ac >= argc) { | ||
fprintf(stderr, "** missing argument for -input2\n"); | ||
return 1; | ||
} | ||
fin2 = argv[ac]; | ||
} else if (!strcmp(argv[ac], "-debug")) { | ||
mode_debug = true; | ||
} else if (!strcmp(argv[ac], "-output")) { | ||
if (++ac >= argc) { | ||
fprintf(stderr, "** missing argument for -output\n"); | ||
return 1; | ||
} | ||
fout = argv[ac]; | ||
} else { | ||
fprintf(stderr, "** invalid option, '%s'\n", argv[ac]); | ||
return 1; | ||
} | ||
} | ||
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if (!fin1) { | ||
fprintf(stderr, "** missing option '-input'\n"); | ||
return 1; | ||
} | ||
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// Read input dataset, including data | ||
nii1 = nifti_image_read(fin1, 1); | ||
if (!nii1) { | ||
fprintf(stderr, "** failed to read NIfTI from '%s'\n", fin1); | ||
return 2; | ||
} | ||
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nii2 = nifti_image_read(fin2, 1); | ||
if (!nii2) { | ||
fprintf(stderr, "** failed to read NIfTI from '%s'\n", fin2); | ||
return 2; | ||
} | ||
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log_welcome("LN2_REGRESS_OUT"); | ||
log_nifti_descriptives(nii1); | ||
log_nifti_descriptives(nii2); | ||
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// Get dimensions of input | ||
const uint32_t size_x = nii1->nx; | ||
const uint32_t size_y = nii1->ny; | ||
const uint32_t size_z = nii1->nz; | ||
const uint32_t size_time = nii1->nt; | ||
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const uint32_t end_x = size_x - 1; | ||
const uint32_t end_y = size_y - 1; | ||
const uint32_t end_z = size_z - 1; | ||
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const uint32_t nr_voxels = size_z * size_y * size_x; | ||
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// ======================================================================== | ||
// Fix input datatype issues | ||
// ======================================================================== | ||
nifti_image* nii_input1 = copy_nifti_as_float32_with_scl_slope_and_scl_inter(nii1); | ||
float* nii_input1_data = static_cast<float*>(nii_input1->data); | ||
nifti_image* nii_input2 = copy_nifti_as_float32_with_scl_slope_and_scl_inter(nii2); | ||
float* nii_input2_data = static_cast<float*>(nii_input2->data); | ||
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// Prepare output image | ||
nifti_image* nii_residual = copy_nifti_as_float32(nii_input1); | ||
float* nii_residual_data = static_cast<float*>(nii_residual->data); | ||
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// Set to zero | ||
for (uint32_t i = 0; i != nr_voxels*size_time; ++i) { | ||
*(nii_residual_data + i) = 0; | ||
} | ||
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nifti_image* nii_predicted = copy_nifti_as_float32(nii_residual); | ||
float* nii_predicted_data = static_cast<float*>(nii_predicted->data); | ||
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// Create a 4D nifti image for point distances | ||
nifti_image *nii_intercept = NULL; | ||
float *nii_intercept_data = NULL; | ||
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nii_intercept = nifti_copy_nim_info(nii1); | ||
nii_intercept->dim[0] = 4; // For 3D nifti | ||
nii_intercept->dim[1] = size_x; | ||
nii_intercept->dim[2] = size_y; | ||
nii_intercept->dim[3] = size_z; | ||
nii_intercept->dim[4] = 1; | ||
nifti_update_dims_from_array(nii_intercept); | ||
nii_intercept->nvox = nr_voxels; | ||
nii_intercept->nbyper = sizeof(float); | ||
nii_intercept->data = calloc(nii_intercept->nvox, nii_intercept->nbyper); | ||
nii_intercept_data = static_cast<float*>(nii_intercept->data); | ||
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nifti_image* nii_slope = copy_nifti_as_float32(nii_intercept); | ||
float* nii_slope_data = static_cast<float*>(nii_slope->data); | ||
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nifti_image* nii_meanx = copy_nifti_as_float32(nii_intercept); | ||
float* nii_meanx_data = static_cast<float*>(nii_meanx->data); | ||
nifti_image* nii_meany = copy_nifti_as_float32(nii_intercept); | ||
float* nii_meany_data = static_cast<float*>(nii_meany->data); | ||
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// ======================================================================== | ||
cout << " Calculating means..." << endl; | ||
// ======================================================================== | ||
float n = static_cast<float>(size_time); | ||
for (uint32_t t = 0; t != size_time; ++t) { | ||
for (uint32_t i = 0; i != nr_voxels; ++i) { | ||
*(nii_meany_data + i) += *(nii_input1_data + i + nr_voxels*t) / n; | ||
*(nii_meanx_data + i) += *(nii_input2_data + i + nr_voxels*t) / n; | ||
} | ||
} | ||
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// ======================================================================== | ||
cout << " Calculating slope and intercept..." << endl; | ||
// ======================================================================== | ||
for (uint32_t i = 0; i != nr_voxels; ++i) { // Loop across voxels | ||
float y_mean = *(nii_meany_data + i); | ||
float x_mean = *(nii_meanx_data + i); | ||
float term1 = 0, term2 = 0; | ||
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for (uint32_t t = 0; t != size_time; ++t) { // Loop across time points | ||
float y = *(nii_input1_data + i + nr_voxels*t); | ||
float x = *(nii_input2_data + i + nr_voxels*t); | ||
term1 += (x - x_mean) * (y - y_mean); | ||
term2 += (x - x_mean) * (x - x_mean); | ||
} | ||
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*(nii_slope_data + i) = term1 / term2; | ||
*(nii_intercept_data + i) = y_mean - *(nii_slope_data + i) * x_mean; | ||
} | ||
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save_output_nifti(fout, "slope", nii_slope, true); | ||
save_output_nifti(fout, "intercept", nii_intercept, true); | ||
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// ======================================================================== | ||
cout << " Computing fitted timeseries..." << endl; | ||
// ======================================================================== | ||
for (uint32_t i = 0; i != nr_voxels; ++i) { // Loop across voxels | ||
for (uint32_t t = 0; t != size_time; ++t) { // Loop across time points | ||
float slope = *(nii_slope_data + i); | ||
float intercept = *(nii_intercept_data + i); | ||
float x = *(nii_input2_data + i + nr_voxels*t); | ||
*(nii_predicted_data + i + nr_voxels*t) = intercept + slope * x; | ||
} | ||
} | ||
save_output_nifti(fout, "fitted", nii_predicted, true); | ||
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// ======================================================================== | ||
cout << " Computing residuals..." << endl; | ||
// ======================================================================== | ||
for (uint32_t i = 0; i != nr_voxels; ++i) { // Loop across voxels | ||
for (uint32_t t = 0; t != size_time; ++t) { // Loop across time points | ||
float y_fitted = *(nii_predicted_data + i + nr_voxels*t); | ||
float y = *(nii_input1_data + i + nr_voxels*t); | ||
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*(nii_residual_data + i + nr_voxels*t) = y - y_fitted; | ||
} | ||
} | ||
save_output_nifti(fout, "residuals", nii_residual, true); | ||
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cout << "\n Finished." << endl; | ||
return 0; | ||
} |