From c79078cd6766a91db42e0877c8a0d93c5e279ea6 Mon Sep 17 00:00:00 2001 From: Dimitri Papadopoulos <3234522+DimitriPapadopoulos@users.noreply.github.com> Date: Fri, 8 Oct 2021 00:41:04 +0200 Subject: [PATCH] Fix typos found by codespell --- doc/index.rst | 1 - ismrmrdtools/coils.py | 4 ++-- ismrmrdtools/grappa.py | 2 +- ismrmrdtools/ndarray_io.py | 3 ++- ismrmrdtools/simulation.py | 2 +- recon_ismrmrd_dataset.py | 2 +- recon_multi_reps.py | 3 +-- 7 files changed, 8 insertions(+), 9 deletions(-) diff --git a/doc/index.rst b/doc/index.rst index 900bfcb..0e6e9ae 100644 --- a/doc/index.rst +++ b/doc/index.rst @@ -19,4 +19,3 @@ Indices and tables * :ref:`genindex` * :ref:`modindex` * :ref:`search` - diff --git a/ismrmrdtools/coils.py b/ismrmrdtools/coils.py index eac4100..b2bb4df 100644 --- a/ismrmrdtools/coils.py +++ b/ismrmrdtools/coils.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- """ -Utilities for coil sensivity maps, pre-whitening, etc +Utilities for coil sensitivity maps, pre-whitening, etc """ import numpy as np from scipy import ndimage @@ -11,7 +11,7 @@ def calculate_prewhitening(noise, scale_factor=1.0): :param noise: Input noise data (array or matrix), ``[coil, nsamples]`` :scale_factor: Applied on the noise covariance matrix. Used to - adjust for effective noise bandwith and difference in + adjust for effective noise bandwidth and difference in sampling rate between noise calibration and actual measurement: scale_factor = (T_acq_dwell/T_noise_dwell)*NoiseReceiverBandwidthRatio diff --git a/ismrmrdtools/grappa.py b/ismrmrdtools/grappa.py index b8b7d5d..6ee0fab 100644 --- a/ismrmrdtools/grappa.py +++ b/ismrmrdtools/grappa.py @@ -148,4 +148,4 @@ def _pad_kernel(gkernel,padded_shape): padding_before = ((padding+1)/2).astype(int) padded_kernel[padding_before[0]:(padding_before[0]+gkernel.shape[0]),padding_before[1]:(padding_before[1]+gkernel.shape[1]),padding_before[2]:(padding_before[2]+gkernel.shape[2])] = gkernel return padded_kernel - + diff --git a/ismrmrdtools/ndarray_io.py b/ismrmrdtools/ndarray_io.py index 519d6b1..cfdd0ec 100644 --- a/ismrmrdtools/ndarray_io.py +++ b/ismrmrdtools/ndarray_io.py @@ -79,4 +79,5 @@ def read_ndarray(filename): arr = np.frombuffer(by,datatype); arr = arr.reshape(dims) - return arr \ No newline at end of file + return arr + diff --git a/ismrmrdtools/simulation.py b/ismrmrdtools/simulation.py index 99fdb9d..d382f51 100644 --- a/ismrmrdtools/simulation.py +++ b/ismrmrdtools/simulation.py @@ -17,7 +17,7 @@ def sample_data(img_obj, csm, acc=1, ref=0, sshift=0): #% - sshift scalar : Sampling shift, i.e for undersampling, do we #% start with line 1 or line 1+sshift? #% -#% OUPUT: +#% OUTPUT: #% - data [kx,ky,c]: Sampled data in k-space (zeros where not sampled) #% - pat [kx,ky,c]: Sampling pattern (0 = not sampled, #% 1 = imaging data, diff --git a/recon_ismrmrd_dataset.py b/recon_ismrmrd_dataset.py index 65c0fec..6a3bff1 100644 --- a/recon_ismrmrd_dataset.py +++ b/recon_ismrmrd_dataset.py @@ -65,7 +65,7 @@ break -# Initialiaze a storage array +# Initialize a storage array all_data = np.zeros((nreps, ncontrasts, nslices, ncoils, eNz, eNy, rNx), dtype=np.complex64) # Loop through the rest of the acquisitions and stuff diff --git a/recon_multi_reps.py b/recon_multi_reps.py index 8e6e7c5..00d8a8d 100644 --- a/recon_multi_reps.py +++ b/recon_multi_reps.py @@ -49,7 +49,7 @@ # TODO: Currently ignoring noise scans if not acq.isFlagSet(ismrmrd.ACQ_IS_NOISE_MEASUREMENT): - raise Exception("Errror: non noise scan found in noise calibration") + raise Exception("Error: non noise scan found in noise calibration") noise[:,acqnum*noise_samples:acqnum*noise_samples+noise_samples] = acq.data @@ -175,4 +175,3 @@ recon[r,:,:,:,:] = np.sum(np.conj(csm) * recon_data,0) show.imshow(np.squeeze(np.std(np.abs(recon),0)),colorbar=True,scale=(1,2)) -