From 64db74575cca02f35e13995e83b1a26f79718d9c Mon Sep 17 00:00:00 2001 From: basile Date: Tue, 9 Aug 2022 16:49:10 -0400 Subject: [PATCH 01/24] remove c-extension: minimal gain and memory leaks --- gradunwarp/core/unwarp_resample.py | 37 ++++++++++++++++-------------- gradunwarp/core/utils.py | 12 +++++++--- 2 files changed, 29 insertions(+), 20 deletions(-) diff --git a/gradunwarp/core/unwarp_resample.py b/gradunwarp/core/unwarp_resample.py index 87b01bc..01375eb 100644 --- a/gradunwarp/core/unwarp_resample.py +++ b/gradunwarp/core/unwarp_resample.py @@ -19,6 +19,7 @@ from .globals import siemens_max_det import nibabel as nib import subprocess +import scipy.special #np.seterr(all='raise') @@ -49,7 +50,7 @@ def __init__(self, vol, m_rcs2ras, vendor, coeffs, fileName): self.order = 1 def eval_spharm_grid(self, vendor, coeffs): - ''' + ''' We evaluate the spherical harmonics on a less sampled grid. This is a spacetime vs accuracy tradeoff. ''' @@ -75,7 +76,7 @@ def eval_spharm_grid(self, vendor, coeffs): gvx, gvy, gvz = utils.meshgrid(vec, vec, vec) # mm cf = (fovmax - fovmin) / numpoints - + # deduce the transformation from rcs to grid g_rcs2xyz = np.array( [[0, cf, 0, fovmin], [cf, 0, 0, fovmin], @@ -94,7 +95,7 @@ def eval_spharm_grid(self, vendor, coeffs): log.info('with extents ' + str(fovmin) + 'mm to ' + str(fovmax) + 'mm') gvxyz = CV(gvx, gvy, gvz) _dv, _dxyz = eval_spherical_harmonics(coeffs, vendor, gvxyz) - + return CV(_dv.x, _dv.y, _dv.z), g_xyz2rcs @@ -107,7 +108,7 @@ def run(self): if self.warp: self.polarity = -1. - # Evaluate spherical harmonics on a smaller grid + # Evaluate spherical harmonics on a smaller grid dv, g_xyz2rcs = self.eval_spharm_grid(self.vendor, self.coeffs) # transform RAS-coordinates into LAI-coordinates @@ -146,12 +147,13 @@ def run(self): # through rotation and scaling, where any mirror # will impose a negation ones = CV(1., 1., 1.) - dxyz = utils.transform_coordinates_old(ones, r_rcs2lai) + dxyz = utils.transform_coordinates(ones, r_rcs2lai) # do the nonlinear unwarp if self.vendor == 'siemens': self.out, self.vjacout = self.non_linear_unwarp_siemens(self.vol.shape, dv, dxyz, m_rcs2lai, m_rcs2lai_nohalf, g_xyz2rcs) + del dv, g_xyz2rcs, self.vjacout def non_linear_unwarp_siemens(self, volshape, dv, dxyz, m_rcs2lai, m_rcs2lai_nohalf, g_xyz2rcs): ''' Performs the crux of the unwarping. @@ -185,7 +187,7 @@ def non_linear_unwarp_siemens(self, volshape, dv, dxyz, m_rcs2lai, m_rcs2lai_noh else: vjacdet_lps = eval_siemens_jacobian_mult(dv, dxyz) - # essentially pre-allocating everything + # essentially pre-allocating everything out = np.zeros((nr, nc, ns), dtype=np.float32) fullWarp = np.zeros((nr, nc, ns, 3), dtype=np.float32) @@ -215,7 +217,7 @@ def non_linear_unwarp_siemens(self, volshape, dv, dxyz, m_rcs2lai, m_rcs2lai_noh [0.0, pixdim2, 0.0, 0.0], [0.0, 0.0, pixdim3, 0.0], [0.0, 0.0, 0.0, 1.0]], dtype=np.float64) - + log.info('Unwarping slice by slice') # for every slice for s in range(ns): @@ -225,7 +227,7 @@ def non_linear_unwarp_siemens(self, volshape, dv, dxyz, m_rcs2lai, m_rcs2lai_noh print(s+1, end=' ') else: print('.', end=' ') - + # hopefully, free memory gc.collect() # init to 0 @@ -233,7 +235,7 @@ def non_linear_unwarp_siemens(self, volshape, dv, dxyz, m_rcs2lai, m_rcs2lai_noh dvy.fill(0.) dvz.fill(0.) im_.fill(0.) - + vs = np.ones(vr.shape) * s vrcs = CV(vr, vc, vs) vxyz = utils.transform_coordinates(vrcs, m_rcs2lai_nohalf) @@ -255,7 +257,7 @@ def non_linear_unwarp_siemens(self, volshape, dv, dxyz, m_rcs2lai, m_rcs2lai_noh #dvx.fill(0.) #dvy.fill(0.) #dvz.fill(0.) - + vxyzw = CV(x=vxyz.x + self.polarity * dvx, y=vxyz.y + self.polarity * dvy, z=vxyz.z + self.polarity * dvz) @@ -308,10 +310,11 @@ def non_linear_unwarp_siemens(self, volshape, dv, dxyz, m_rcs2lai, m_rcs2lai_noh out[..., s] = im2 print() - + img=nib.Nifti1Image(fullWarp,self.m_rcs2ras) nib.save(img,"fullWarp_abs.nii.gz") # return image and the jacobian + del vrcsw, vfsl, vxyzw, vrcs, vxyz, vrcsg, fullWarp return out, vjacout def write(self, outfile): @@ -411,16 +414,16 @@ def siemens_B(alpha, beta, x1, y1, z1, R0): f = np.power(r / R0, n) for m in range(0, n + 1): f2 = alpha[n, m] * np.cos(m * phi) + beta[n, m] * np.sin(m * phi) - _ptemp = utils.legendre(n, m, np.cos(theta)) - #_ptemp = scipy.special.lpmv(m, n, np.cos(theta)) + #_ptemp = utils.legendre(n, m, np.cos(theta)) + _p = scipy.special.lpmv(m, n, np.cos(theta)) normfact = 1 # this is Siemens normalization if m > 0: normfact = math.pow(-1, m) * \ math.sqrt(float((2 * n + 1) * factorial(n - m)) \ / float(2 * factorial(n + m))) - _p = normfact * _ptemp - b = b + f * _p * f2 + _p *= normfact + b += f * _p * f2 return b @@ -444,7 +447,7 @@ def ge_D(alpha, beta, x1, y1, z1): for m in range(0, n + 1): f2 = alpha[n, m] * np.cos(m * theta) + beta[n, m] \ * np.sin(m * theta) - _p = utils.legendre(n, m, np.cos(phi)) - d = d + f * _p * f2 + _p = scipy.special.lpmv(m, n, np.cos(phi)) + d += f * _p * f2 d = d / 100.0 # cm back to meters return d diff --git a/gradunwarp/core/utils.py b/gradunwarp/core/utils.py index 42bde47..22a6f0e 100644 --- a/gradunwarp/core/utils.py +++ b/gradunwarp/core/utils.py @@ -20,7 +20,7 @@ # this method is deprecated because it's slow and my suspicion that -# the matrix expressions create unnecessary temp matrices which +# the matrix expressions create unnecessary temp matrices which # are costly for huge matrices def transform_coordinates_old(A, M): ''' 4x4 matrix M operates on orthogonal coordinates arrays @@ -34,7 +34,7 @@ def transform_coordinates_old(A, M): B3 = A1 * M[2, 0] + A2 * M[2, 1] + A3 * M[2, 2] + M[2, 3] return CoordsVector(B1, B2, B3) -def transform_coordinates(A, M): +def transform_coordinates_old2(A, M): ''' 4x4 matrix M operates on orthogonal coordinates arrays A1, A2, A3 to give B1, B2, B3 ''' @@ -54,6 +54,12 @@ def transform_coordinates(A, M): B1, B2, B3 = _transform_coordinates(A1, A2, A3, M) return CoordsVector(B1, B2, B3) +from nibabel.affines import apply_affine + +def transform_coordinates(A, M): + vecs = np.asanyarray([A.x,A.y,A.z]).T + vecs_trans = apply_affine(M, vecs) + return CoordsVector(vecs_trans[...,0].T, vecs_trans[...,1].T, vecs_trans[...,2].T) def get_vol_affine(infile): try: @@ -276,7 +282,7 @@ def legendre(nu, mu, x): x = x.astype(np.float32) b = _legendre(nu, mu, x) return b - + def interp3(vol, R, C, S): ''' From 5c91b362472f04a03f7e544aa032e065c5c49214 Mon Sep 17 00:00:00 2001 From: bpinsard Date: Mon, 7 Aug 2023 14:55:38 -0400 Subject: [PATCH 02/24] cleanup wip --- gradunwarp/core/interp3_ext.c | 198 -------------------- gradunwarp/core/legendre_ext.c | 169 ----------------- gradunwarp/core/tests/test_utils.py | 46 ----- gradunwarp/core/transform_coordinates_ext.c | 153 --------------- gradunwarp/core/unwarp_resample.py | 10 +- 5 files changed, 1 insertion(+), 575 deletions(-) delete mode 100644 gradunwarp/core/interp3_ext.c delete mode 100644 gradunwarp/core/legendre_ext.c delete mode 100644 gradunwarp/core/tests/test_utils.py delete mode 100644 gradunwarp/core/transform_coordinates_ext.c diff --git a/gradunwarp/core/interp3_ext.c b/gradunwarp/core/interp3_ext.c deleted file mode 100644 index 9990e3c..0000000 --- a/gradunwarp/core/interp3_ext.c +++ /dev/null @@ -1,198 +0,0 @@ -/* -### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## -# -# See COPYING file distributed along with the gradunwarp package for the -# copyright and license terms. -# -### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## -*/ -#include "Python.h" -#include "numpy/arrayobject.h" -#include - -# define CUBE(x) ((x) * (x) * (x)) -# define SQR(x) ((x) * (x)) - -/* compile command - gcc -shared -pthread -fPIC -fwrapv -O2 -Wall -fno-strict-aliasing -I/usr/include/python2.7 -o interp3_ext.so interp3_ext.c - */ -static PyObject *interp3(PyObject *self, PyObject *args); -float TriCubic (float px, float py, float pz, float *volume, int xDim, int yDim, int zDim); - -// what function are exported -static PyMethodDef tricubicmethods[] = { - {"_interp3", interp3, METH_VARARGS}, - {NULL, NULL} -}; - -// This function is essential for an extension for Numpy created in C -#if PY_MAJOR_VERSION >= 3 - -static struct PyModuleDef moduledef = { - PyModuleDef_HEAD_INIT, - "interp3_ext", - NULL, - -1, - tricubicmethods, - NULL, - NULL, - NULL, - NULL -}; -#define INITERROR return NULL - -PyObject * -PyInit_interp3_ext(void) - -#else -#define INITERROR return - -void -initinterp3_ext(void) -#endif -{ -#if PY_MAJOR_VERSION >= 3 - PyObject *module = PyModule_Create(&moduledef); -#else - PyObject *module = Py_InitModule("interp3_ext", tricubicmethods); -#endif - - if (module == NULL) - INITERROR; - - import_array(); - -#if PY_MAJOR_VERSION >= 3 - return module; -#endif -} - -// the data should be FLOAT32 and should be ensured in the wrapper -static PyObject *interp3(PyObject *self, PyObject *args) -{ - PyArrayObject *volume, *result, *C, *R, *S; - float *pr, *pc, *ps; - float *pvol, *pvc; - int xdim, ydim, zdim; - - // We expect 4 arguments of the PyArray_Type - if(!PyArg_ParseTuple(args, "O!O!O!O!", - &PyArray_Type, &volume, - &PyArray_Type, &R, - &PyArray_Type, &C, - &PyArray_Type, &S)) return NULL; - - if ( NULL == volume ) return NULL; - if ( NULL == C ) return NULL; - if ( NULL == R ) return NULL; - if ( NULL == S ) return NULL; - - // result matrix is the same size as C and is float - result = (PyArrayObject*) PyArray_ZEROS(PyArray_NDIM(C), C->dimensions, NPY_FLOAT, 0); - // This is for reference counting ( I think ) - PyArray_FLAGS(result) |= NPY_OWNDATA; - - // massive use of iterators to progress through the data - PyArrayIterObject *itr_v, *itr_r, *itr_c, *itr_s; - itr_v = (PyArrayIterObject *) PyArray_IterNew(result); - itr_r = (PyArrayIterObject *) PyArray_IterNew(R); - itr_c = (PyArrayIterObject *) PyArray_IterNew(C); - itr_s = (PyArrayIterObject *) PyArray_IterNew(S); - pvol = (float *)PyArray_DATA(volume); - xdim = PyArray_DIM(volume, 0); - ydim = PyArray_DIM(volume, 1); - zdim = PyArray_DIM(volume, 2); - //printf("%f\n", pvol[4*20*30 + 11*30 + 15]); - while(PyArray_ITER_NOTDONE(itr_v)) - { - pvc = (float *) PyArray_ITER_DATA(itr_v); - pr = (float *) PyArray_ITER_DATA(itr_r); - pc = (float *) PyArray_ITER_DATA(itr_c); - ps = (float *) PyArray_ITER_DATA(itr_s); - // The order is weird because the tricubic code below is - // for Fortran ordering. Note that the xdim changes fast in - // the code, whereas the rightmost dim should change fast - // in C multidimensional arrays. - *pvc = TriCubic(*ps, *pc, *pr, pvol, zdim, ydim, xdim); - PyArray_ITER_NEXT(itr_v); - PyArray_ITER_NEXT(itr_r); - PyArray_ITER_NEXT(itr_c); - PyArray_ITER_NEXT(itr_s); - } - - return result; -} - -/* - * TriCubic - tri-cubic interpolation at point, p. - * inputs: - * px, py, pz - the interpolation point. - * volume - a pointer to the float volume data, stored in x, - * y, then z order (x index increasing fastest). - * xDim, yDim, zDim - dimensions of the array of volume data. - * returns: - * the interpolated value at p. - * note: - * rudimentary range checking is done in this function. - */ - -float TriCubic (float px, float py, float pz, float *volume, int xDim, int yDim, int zDim) -{ - int x, y, z; - int i, j, k; - float dx, dy, dz; - float *pv; - float u[4], v[4], w[4]; - float r[4], q[4]; - float vox = 0; - int xyDim; - - xyDim = xDim * yDim; - - x = (int) px, y = (int) py, z = (int) pz; - // necessary evil truncating at dim-2 because tricubic needs 2 more values - // which is criminal near edges - // future work includes doing trilinear for edge cases - // range checking is extremely important here - if (x < 2 || x > xDim-3 || y < 2 || y > yDim-3 || z < 2 || z > zDim-3) - return (0); - - dx = px - (float) x, dy = py - (float) y, dz = pz - (float) z; - pv = volume + (x - 1) + (y - 1) * xDim + (z - 1) * xyDim; - - /* factors for Catmull-Rom interpolation */ - - u[0] = -0.5 * CUBE (dx) + SQR (dx) - 0.5 * dx; - u[1] = 1.5 * CUBE (dx) - 2.5 * SQR (dx) + 1; - u[2] = -1.5 * CUBE (dx) + 2 * SQR (dx) + 0.5 * dx; - u[3] = 0.5 * CUBE (dx) - 0.5 * SQR (dx); - - v[0] = -0.5 * CUBE (dy) + SQR (dy) - 0.5 * dy; - v[1] = 1.5 * CUBE (dy) - 2.5 * SQR (dy) + 1; - v[2] = -1.5 * CUBE (dy) + 2 * SQR (dy) + 0.5 * dy; - v[3] = 0.5 * CUBE (dy) - 0.5 * SQR (dy); - - w[0] = -0.5 * CUBE (dz) + SQR (dz) - 0.5 * dz; - w[1] = 1.5 * CUBE (dz) - 2.5 * SQR (dz) + 1; - w[2] = -1.5 * CUBE (dz) + 2 * SQR (dz) + 0.5 * dz; - w[3] = 0.5 * CUBE (dz) - 0.5 * SQR (dz); - - for (k = 0; k < 4; k++) - { - q[k] = 0; - for (j = 0; j < 4; j++) - { - r[j] = 0; - for (i = 0; i < 4; i++) - { - r[j] += u[i] * *pv; - pv++; - } - q[k] += v[j] * r[j]; - pv += xDim - 4; - } - vox += w[k] * q[k]; - pv += xyDim - 4 * xDim; - } - return vox; -} diff --git a/gradunwarp/core/legendre_ext.c b/gradunwarp/core/legendre_ext.c deleted file mode 100644 index 372c629..0000000 --- a/gradunwarp/core/legendre_ext.c +++ /dev/null @@ -1,169 +0,0 @@ -/* -### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## -# -# See COPYING file distributed along with the gradunwarp package for the -# copyright and license terms. -# -### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## -*/ -#include "Python.h" -#include "numpy/arrayobject.h" -#include - -/* compile command - gcc -shared -pthread -fPIC -fwrapv -O2 -Wall -fno-strict-aliasing -I/usr/include/python2.7 -o legendre_ext.so legendre_ext.c - */ -static PyObject *legendre(PyObject *self, PyObject *args); -long odd_factorial(int k); - -// what function are exported -static PyMethodDef legendremethods[] = { - {"_legendre", legendre, METH_VARARGS}, - {NULL, NULL} -}; - -// This function is essential for an extension for Numpy created in C -#if PY_MAJOR_VERSION >= 3 - -static struct PyModuleDef moduledef = { - PyModuleDef_HEAD_INIT, - "legendre_ext", - NULL, - -1, - legendremethods, - NULL, - NULL, - NULL, - NULL -}; - -#define INITERROR return NULL - -PyObject * -PyInit_legendre_ext(void) - -#else -#define INITERROR return - -void -initlegendre_ext(void) -#endif -{ -#if PY_MAJOR_VERSION >= 3 - PyObject *module = PyModule_Create(&moduledef); -#else - PyObject *module = Py_InitModule("legendre_ext", legendremethods); -#endif - - if (module == NULL) - INITERROR; - - import_array(); - -#if PY_MAJOR_VERSION >= 3 - return module; -#endif -} - -// the data should be FLOAT32 and should be ensured in the wrapper -static PyObject *legendre(PyObject *self, PyObject *args) -{ - PyArrayObject *x, *result; - long nu, mu; - - // We expect 1 argument of the PyArray_Type - // and 2 of Python float32 - if(!PyArg_ParseTuple(args, "llO!", - &nu, &mu, - &PyArray_Type, &x)) return NULL; - - if ( NULL == x ) return NULL; - - // Error check - if ( mu < 0.0 || mu > nu ) - { - printf("Error!: require legendre computation to have 0 <= mu <=nu,\n"); - printf("but mu=%d and nu=%d\n", mu, nu); - return NULL; - } - - //result matrix is the same size as x and is float - result = (PyArrayObject*) PyArray_ZEROS(PyArray_NDIM(x), x->dimensions, NPY_FLOAT, 0); - // This is for reference counting ( I think ) - PyArray_FLAGS(result) |= NPY_OWNDATA; - - PyArrayIterObject *itr_x, *itr_r; - int s, n; - float *px, *pr, p_nu, p_nu_prev; - - itr_x = (PyArrayIterObject *) PyArray_IterNew(x); - itr_r = (PyArrayIterObject *) PyArray_IterNew(result); - while(PyArray_ITER_NOTDONE(itr_x)) - { - px = (float *) PyArray_ITER_DATA(itr_x); - // unfortunate error check in the main loop - if ( abs(*px) > 1.0 ) - { - printf("Error! require -1 <= x <= 1 in the legendre computation.\n"); - printf("but got x=%f\n", x); - return NULL; - } - pr = (float *) PyArray_ITER_DATA(itr_r); - - // Compute the initial term in the recursion - if ( mu ) - { - s = 1; - if ( mu & 1) - s = -1; - p_nu = s * odd_factorial(2 * mu - 1) * pow(sqrt( 1.0 - *px * *px), mu); - } - else - p_nu = 1.0; - - // special case.. clear up and return - if ( mu == nu ) - { - *pr = p_nu; - PyArray_ITER_NEXT(itr_x); - PyArray_ITER_NEXT(itr_r); - continue; - } - - // compute the next term in recursion - p_nu_prev = p_nu; - p_nu = *px * (2 * mu + 1) * p_nu; - - // special case.. clear up and return - if ( nu == mu + 1) - { - *pr = p_nu; - PyArray_ITER_NEXT(itr_x); - PyArray_ITER_NEXT(itr_r); - continue; - } - - for(n=mu+2; n= 3) - { - k -= 2; - f *= k; - } - return f; -} diff --git a/gradunwarp/core/tests/test_utils.py b/gradunwarp/core/tests/test_utils.py deleted file mode 100644 index 46161b1..0000000 --- a/gradunwarp/core/tests/test_utils.py +++ /dev/null @@ -1,46 +0,0 @@ -### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## -# -# See COPYING file distributed along with the NiBabel package for the -# copyright and license terms. -# -### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## -'''Test multiple utils''' -import os -import numpy as np -from numpy.testing import assert_equal, assert_array_equal, \ - assert_array_almost_equal, assert_almost_equal -from gradunwarp.core.utils import interp3 -from gradunwarp.core.utils import legendre - - -def test_interp3(): - arr = np.linspace(-4, 4, 6000) - arr = np.sin(arr) - arr = arr.reshape(10, 20, 30).astype('float32') - - # sanity check - ex1 = arr[4, 11, 15] - ac1 = interp3(arr, np.array([4.]), np.array([11.]), np.array([15.])) - assert_almost_equal(ex1, ac1[0], 5) - - ex2 = arr[5, 12, 16] - ac2 = interp3(arr, np.array([5.]), np.array([12.]), np.array([16.])) - assert_almost_equal(ex2, ac2[0], 5) - - ex3 = np.array([-0.33291185, -0.24946867, -0.1595035, - -0.06506295, 0.03180848, 0.12906794, - 0.22467692, 0.31659847, 0.40280011, - 0.48125309]) - gridn = 10 - R1 = np.linspace(4., 5., gridn).astype('float32') - C1 = np.linspace(11., 12., gridn).astype('float32') - S1 = np.linspace(15., 16., gridn).astype('float32') - ac3 = interp3(arr, R1, C1, S1) - assert_array_almost_equal(ex3, ac3) - - -def test_legendre(): - arr = np.array([0.1, 0.2, 0.3]) - ex1 = np.array([44.83644, 75.85031, 82.44417]) - ac1 = legendre(6, 3, arr) - assert_array_almost_equal(ex1, ac1, 5) diff --git a/gradunwarp/core/transform_coordinates_ext.c b/gradunwarp/core/transform_coordinates_ext.c deleted file mode 100644 index 8323f0b..0000000 --- a/gradunwarp/core/transform_coordinates_ext.c +++ /dev/null @@ -1,153 +0,0 @@ -/* -### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## -# -# See COPYING file distributed along with the gradunwarp package for the -# copyright and license terms. -# -### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## -*/ -#include "Python.h" -#include "numpy/arrayobject.h" -#include - -/* compile command - gcc -shared -pthread -fPIC -fwrapv -O2 -Wall -fno-strict-aliasing -I/usr/include/python2.7 -o transform_coordinates_ext.so transform_coordinates_ext.c - */ -static PyObject *transform_coordinates(PyObject *self, PyObject *args); - - -// what function are exported -static PyMethodDef transform_coordinatesmethods[] = { - {"_transform_coordinates", transform_coordinates, METH_VARARGS}, - {NULL, NULL} -}; - - -// This function is essential for an extension for Numpy created in C -#if PY_MAJOR_VERSION >= 3 - -static struct PyModuleDef moduledef = { - PyModuleDef_HEAD_INIT, - "transform_coordinates_ext", - NULL, - -1, - transform_coordinatesmethods, - NULL, - NULL, - NULL, - NULL -}; - -#define INITERROR return NULL - -PyObject * -PyInit_transform_coordinates_ext(void) - -#else -#define INITERROR return - -void -inittransform_coordinates_ext(void) -#endif -{ -#if PY_MAJOR_VERSION >= 3 - PyObject *module = PyModule_Create(&moduledef); -#else - PyObject *module = Py_InitModule("transform_coordinates_ext", transform_coordinatesmethods); -#endif - - if (module == NULL) - INITERROR; - - import_array(); - -#if PY_MAJOR_VERSION >= 3 - return module; -#endif -} - - -// the data should be FLOAT32 and should be ensured in the wrapper -static PyObject *transform_coordinates(PyObject *self, PyObject *args) -{ - float *m; - float *x, *y, *z, *xm, *ym, *zm; - PyArrayObject *X, *Y, *Z, *mat; - PyArrayObject *Xm, *Ym, *Zm; - // We expect 4 arguments of the PyArray_Type - if(!PyArg_ParseTuple(args, "O!O!O!O!", - &PyArray_Type, &X, - &PyArray_Type, &Y, - &PyArray_Type, &Z, - &PyArray_Type, &mat)) return NULL; - - if ( NULL == X ) return NULL; - if ( NULL == Y ) return NULL; - if ( NULL == Z ) return NULL; - if ( NULL == mat ) return NULL; - - // result matrices are the same size and float - Xm = (PyArrayObject*) PyArray_ZEROS(PyArray_NDIM(X), X->dimensions, NPY_FLOAT, 0); - Ym = (PyArrayObject*) PyArray_ZEROS(PyArray_NDIM(X), X->dimensions, NPY_FLOAT, 0); - Zm = (PyArrayObject*) PyArray_ZEROS(PyArray_NDIM(X), X->dimensions, NPY_FLOAT, 0); - - // This is for reference counting ( I think ) - PyArray_FLAGS(Xm) |= NPY_OWNDATA; - PyArray_FLAGS(Ym) |= NPY_OWNDATA; - PyArray_FLAGS(Zm) |= NPY_OWNDATA; - - // massive use of iterators to progress through the data - PyArrayIterObject *itr_x, *itr_y, *itr_z; - PyArrayIterObject *itr_xm, *itr_ym, *itr_zm; - itr_x = (PyArrayIterObject *) PyArray_IterNew(X); - itr_y = (PyArrayIterObject *) PyArray_IterNew(Y); - itr_z = (PyArrayIterObject *) PyArray_IterNew(Z); - itr_xm = (PyArrayIterObject *) PyArray_IterNew(Xm); - itr_ym = (PyArrayIterObject *) PyArray_IterNew(Ym); - itr_zm = (PyArrayIterObject *) PyArray_IterNew(Zm); - /*m = (float *)PyArray_DATA(mat); - printf("%f %f %f %f\n", m[0], m[1], m[2], m[3]); - printf("%f %f %f %f\n", m[4], m[5], m[6], m[7]); - printf("%f %f %f %f\n", m[8], m[9], m[10], m[11]); - */ - float *m00, *m01, *m02, *m03; - float *m10, *m11, *m12, *m13; - float *m20, *m21, *m22, *m23; - m00 = (float *)PyArray_GETPTR2(mat, 0, 0); - m01 = (float *)PyArray_GETPTR2(mat, 0, 1); - m02 = (float *)PyArray_GETPTR2(mat, 0, 2); - m03 = (float *)PyArray_GETPTR2(mat, 0, 3); - m10 = (float *)PyArray_GETPTR2(mat, 1, 0); - m11 = (float *)PyArray_GETPTR2(mat, 1, 1); - m12 = (float *)PyArray_GETPTR2(mat, 1, 2); - m13 = (float *)PyArray_GETPTR2(mat, 1, 3); - m20 = (float *)PyArray_GETPTR2(mat, 2, 0); - m21 = (float *)PyArray_GETPTR2(mat, 2, 1); - m22 = (float *)PyArray_GETPTR2(mat, 2, 2); - m23 = (float *)PyArray_GETPTR2(mat, 2, 3); - - // start the iteration - while(PyArray_ITER_NOTDONE(itr_x)) - { - x = (float *) PyArray_ITER_DATA(itr_x); - y = (float *) PyArray_ITER_DATA(itr_y); - z = (float *) PyArray_ITER_DATA(itr_z); - xm = (float *) PyArray_ITER_DATA(itr_xm); - ym = (float *) PyArray_ITER_DATA(itr_ym); - zm = (float *) PyArray_ITER_DATA(itr_zm); - - // transform coordinates - *xm = *x * *m00 + *y * *m01 + *z * *m02 + *m03; - *ym = *x * *m10 + *y * *m11 + *z * *m12 + *m13; - *zm = *x * *m20 + *y * *m21 + *z * *m22 + *m23; - - PyArray_ITER_NEXT(itr_x); - PyArray_ITER_NEXT(itr_y); - PyArray_ITER_NEXT(itr_z); - PyArray_ITER_NEXT(itr_xm); - PyArray_ITER_NEXT(itr_ym); - PyArray_ITER_NEXT(itr_zm); - } - - return Py_BuildValue("OOO", Xm, Ym, Zm); -} diff --git a/gradunwarp/core/unwarp_resample.py b/gradunwarp/core/unwarp_resample.py index 01375eb..8b02dc2 100644 --- a/gradunwarp/core/unwarp_resample.py +++ b/gradunwarp/core/unwarp_resample.py @@ -119,14 +119,6 @@ def run(self): m_rcs2lai = np.dot(m_ras2lai, self.m_rcs2ras) m_rcs2lai_nohalf = m_rcs2lai[:, :] - # indices of image volume - ''' - nr, nc, ns = self.vol.shape[:3] - vc3, vr3, vs3 = utils.meshgrid(np.arange(nr), np.arange(nc), np.arange(ns), dtype=np.float32) - vrcs = CV(x=vr3, y=vc3, z=vs3) - vxyz = utils.transform_coordinates(vrcs, m_rcs2lai) - ''' - # account for half-voxel shift in R and C directions halfvox = np.zeros((4, 4)) halfvox[0, 3] = m_rcs2lai[0, 0] / 2.0 @@ -311,7 +303,7 @@ def non_linear_unwarp_siemens(self, volshape, dv, dxyz, m_rcs2lai, m_rcs2lai_noh print() - img=nib.Nifti1Image(fullWarp,self.m_rcs2ras) + img=nib.Nifti1Image(fullWarp, self.m_rcs2ras) nib.save(img,"fullWarp_abs.nii.gz") # return image and the jacobian del vrcsw, vfsl, vxyzw, vrcs, vxyz, vrcsg, fullWarp From dd2f5820edaad9d7f9b3ea44e06b2db326c944d4 Mon Sep 17 00:00:00 2001 From: bpinsard Date: Wed, 23 Aug 2023 12:02:49 -0400 Subject: [PATCH 03/24] add regression tests for siemens_B to check that numpy legendre are equivalent --- .../core/tests/data/gradunwarp_coeffs.grad | 37 ++++++++++++++++++ .../core/tests/data/siemens_B_output.npz | Bin 0 -> 1042130 bytes gradunwarp/core/tests/test_regression.py | 19 +++++++++ 3 files changed, 56 insertions(+) create mode 100644 gradunwarp/core/tests/data/gradunwarp_coeffs.grad create mode 100644 gradunwarp/core/tests/data/siemens_B_output.npz create mode 100644 gradunwarp/core/tests/test_regression.py diff --git a/gradunwarp/core/tests/data/gradunwarp_coeffs.grad b/gradunwarp/core/tests/data/gradunwarp_coeffs.grad new file mode 100644 index 0000000..2d4da85 --- /dev/null +++ b/gradunwarp/core/tests/data/gradunwarp_coeffs.grad @@ -0,0 +1,37 @@ +#*[ Script ****************************************************************\ +# +# Name : dummy.grad +# +# Date : 0970-01-01 +# +# Author : Mario Bros +# +# Language : +# +# Description : Defines Legendre coefficients in spherical harmonics for +# dummy Gradient Coil +# +#****************************************************************************/ + +#*] END: */ +dummy, dummy , Gx,y,z = 80/80 mT/m +win_low = 0, win_high = 0, win_algo = 0, win_dummy = 2; 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A(1,0) = B(1,1) = A(1,1) = 0; +0 = CoSyMode, + + + +NO. 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zcD*>NCe65j5)D)CJLl7IE_i{g#sKzw_L`UgvgVtwOWF&_pk4Wo{ZnX&N zS4UgB!);ZDCu5O3$;pd0r?YxzTYHw|dV4HmkirF9t)CJuu$Q;YO6BJvHMp z|L;hK^WMQ&!^?k+WDjvcQyzeSR$xzMHI(rQs0gX>@bE6;-Yj_S!y615D*(I@GkUxW lxGTS3A^6`vJ@(-Py83D;pa1a{J{~^a9o*GtxZmU9{U620xU~QP literal 0 HcmV?d00001 diff --git a/gradunwarp/core/tests/test_regression.py b/gradunwarp/core/tests/test_regression.py new file mode 100644 index 0000000..8e16f15 --- /dev/null +++ b/gradunwarp/core/tests/test_regression.py @@ -0,0 +1,19 @@ +import numpy as np +from numpy.testing import assert_equal, assert_array_equal, \ + assert_array_almost_equal, assert_almost_equal + +from gradunwarp.core import coeffs, utils +from gradunwarp.core.unwarp_resample import siemens_B + +def test_siemens_B(): + gradfile = 'gradunwarp/core/tests/data/gradunwarp_coeffs.grad' + siemens_coeffs = coeffs.get_coefficients('siemens', gradfile) + R0 = siemens_coeffs.R0_m * 1000 + + vec = np.linspace(-300, 300, 60) + x, y ,z = utils.meshgrid(vec, vec, vec) + + bx = siemens_B(siemens_coeffs.alpha_x, siemens_coeffs.beta_x, x, y, z, R0) + ref_bx = np.load('gradunwarp/core/tests/data/siemens_B_output.npz')['bx'] + + assert_array_almost_equal(ref_bx, bx) From d80a60ff1667a5b23c594b1b9bbdb93a7790cb44 Mon Sep 17 00:00:00 2001 From: bpinsard Date: Wed, 23 Aug 2023 14:27:43 -0400 Subject: [PATCH 04/24] fix type change, keep float32 --- gradunwarp/core/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gradunwarp/core/utils.py b/gradunwarp/core/utils.py index 22a6f0e..7342cf4 100644 --- a/gradunwarp/core/utils.py +++ b/gradunwarp/core/utils.py @@ -206,7 +206,7 @@ def meshgrid(*xi, **kwargs): else: # Return the full N-D matrix (not only the 1-D vector) if copy: - mult_fact = np.ones(shape, dtype=int) + mult_fact = np.ones(shape, dtype=np.float32) return [x * mult_fact for x in output] else: return np.broadcast_arrays(*output) From 704bc0d81bf91433086115507a3eb8aa2c71f0de Mon Sep 17 00:00:00 2001 From: bpinsard Date: Wed, 23 Aug 2023 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