def SSFP(self, theta, row, col, te, tr, image_shape0, image_shape1, T2, T1, phantom, Gy, Start_up): Kspace_ssfp = np.zeros((image_shape0, image_shape1), dtype=np.complex_) if (Start_up == True): phantom = Fast.startup_cycle(phantom, theta / 2, te, tr, T2, T1, row, col, 1) phantom = Fast.startup_cycle(phantom, theta, te, tr, T2, T1, row, col, 15) for r in range(Kspace_ssfp.shape[0]): #rows theta = -theta phantom = Fast.rotate_decay(phantom, theta, te, T2, row, col) for c in range(Kspace_ssfp.shape[1]): Gx_step = ((2 * math.pi) / row) * r Gy_step = (Gy / col) * c for ph_row in range(row): for ph_col in range(col): Toltal_theta = (Gx_step * ph_row) + (Gy_step * ph_col) Mag = math.sqrt(((phantom[ph_row, ph_col, 0]) * (phantom[ph_row, ph_col, 0])) + ((phantom[ph_row, ph_col, 1]) * (phantom[ph_row, ph_col, 1]))) Kspace_ssfp[r, c] = Kspace_ssfp[r, c] + ( Mag * np.exp(-1j * Toltal_theta)) QApplication.processEvents() QApplication.processEvents() print(theta) for ph_rowtr in range(row): for ph_coltr in range(col): self.phantom[ph_rowtr, ph_coltr, 0] = 0 self.phantom[ph_rowtr, ph_coltr, 1] = 0 self.phantom[ph_rowtr, ph_coltr, 2] = ( (phantom[ph_rowtr, ph_coltr, 2]) * np.exp(-tr / T1[ph_rowtr, ph_coltr])) + ( 1 - np.exp(-tr / T1[ph_rowtr, ph_coltr])) QApplication.processEvents() iff = np.fft.ifft2(Kspace_ssfp) #print(iff) inverse_array = np.abs(iff) inverse_array = (inverse_array - np.amin(inverse_array)) * 255 / ( np.amax(inverse_array) - np.amin(inverse_array)) inverse_img = gray2qimage(inverse_array) imgreconstruction = inverse_img return imgreconstruction
def GRE(self, theta, row, col, te, tr, image_shape0, image_shape1, T2, T1, phantom, Gy, Start_up): Kspace = np.zeros((image_shape0, image_shape1), dtype=np.complex_) if (Start_up == True): phantom = Fast.startup_cycle(phantom, theta, te, tr, T2, T1, row, col, 15) for r in range(Kspace.shape[0]): #rows phantom = Fast.rotate_decay(phantom, theta, te, T2, row, col) for c in range(Kspace.shape[1]): #columns Gx_step = ((2 * math.pi) / row) * r Gy_step = ((Gy) / col) * c for ph_row in range(row): for ph_col in range(col): Toltal_theta = (Gx_step * ph_row) + (Gy_step * ph_col) Mag = math.sqrt(((phantom[ph_row, ph_col, 0]) * (phantom[ph_row, ph_col, 0])) + ((phantom[ph_row, ph_col, 1]) * (phantom[ph_row, ph_col, 1]))) Kspace[r, c] = Kspace[r, c] + (Mag * np.exp(-1j * Toltal_theta)) QApplication.processEvents() QApplication.processEvents() phantom = Fast.recovery(phantom, row, col, tr, T1) QApplication.processEvents() iff = np.fft.ifft2(Kspace) inverse_array = np.abs(iff) inverse_array = (inverse_array - np.amin(inverse_array)) * 255 / ( np.amax(inverse_array) - np.amin(inverse_array)) inverse_img = gray2qimage(inverse_array) imgreconstruction = inverse_img return imgreconstruction