diff --git a/torch_radon/__init__.py b/torch_radon/__init__.py
index fd038e9..99984d0 100644
--- a/torch_radon/__init__.py
+++ b/torch_radon/__init__.py
@@ -93,14 +93,14 @@ def filter_sinogram(self, sinogram, filter_name="ramp"):
 
         padded_sinogram = F.pad(sinogram.float(), (0, pad, 0, 0))
         # TODO should be possible to use onesided=True saving memory and time
-        sino_fft = torch.rfft(padded_sinogram, 1, normalized=True, onesided=False)
+        sino_fft = torch.fft.fft(padded_sinogram)
 
         # get filter and apply
         f = self.fourier_filters.get(padded_size, filter_name, sinogram.device)
-        filtered_sino_fft = sino_fft * f
+        filtered_sino_fft = sino_fft * f.squeeze(2).unsqueeze(1)
 
         # Inverse fft
-        filtered_sinogram = torch.irfft(filtered_sino_fft, 1, normalized=True, onesided=False)
+        filtered_sinogram = torch.real(torch.fft.ifft(filtered_sino_fft))
 
         # pad removal and rescaling
         filtered_sinogram = filtered_sinogram[:, :, :-pad] * (np.pi / (2 * n_angles))