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Variable splitting network for accelerated parallel MRI reconstruction
Can you provide code on how you implemented the l1-spirit method? I am trying to use python-based bart tool to implement the method, but the results are not coming in range. Also, obtaining sensitivity map from the given k-space is not equal to the provided sensitivity map. Is there any reason behind this ?
Evaluating performance for coronal_pd
/home/wzz/miniconda3/envs/vs-net/lib/python3.7/site-packages/numpy/core/fromnumeric.py:3257: RuntimeWarning: Mean of empty slice.
out=out, **kwargs)
/home/wzz/miniconda3/envs/vs-net/lib/python3.7/site-packages/numpy/core/_methods.py:161: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
Patient 11: nan nan nan nan
Traceback (most recent call last):
File "inference.py", line 174, in
mat_dict={'normalization': np.asarray(normalization)})
File "/home/wzz/project/VS-Net/common/mriutils.py", line 72, in saveAsMat
assert img.ndim in [2, 3, 4]
AssertionError
how can i fix it?thanks!
Hello, I was replicating your code recently, but there was a problem in downloading the data set. I could not download it directly from the data set link you gave me in GLOBUS. After many attempts, I was reminded that the download failed. So, do you have any other downloading methods? Thank you!
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