mri-nufft
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mind-inria
Doing non-Cartesian MR Imaging has never been so easy.
This PR adds the following features: - `initialize_3D_TURBINE` function to create a TURBINE trajectory requested in issues #50, that consists in EPI shots rotated into a cylinder, - `initialize_3D_REPI` function...
This PR adds support for Variable density spiral generation. It is a port to Python of the code of Brian Hargreaves from http://mrsrl.stanford.edu/~brian/vdspiral/ The associated publication is here: https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.10644 Note...
Recently with #90 we now have Smaps estimation module. However, this was not tested. It will be helpful to have tests for this
With #157 that changes the Siemens Twix reading package, we need tests to cover the new implementation. Dummy raw data?
Currently we seem to have 2 different memory elements for `samples` (perhaps 3 assuming interfaces has a copy of its own internally, but that cant be fixed). What we need...
Currently, we dont pull out this data. However, it is crucial information for us to finally save the reconstructed images. This could involve moving from pymapvbvd to twixtools if needed.
Currently, we support all the ingridients needed for doing CG iteration, just a small function in extras module with: Here is a simple example of gradient descent step. All thats...
For now imports seem really slow, make it faster for faster debug cycles
We currently dont check if the image shape matches what was specified in the init. Additionally, it will help a lot to ensure that we are C ordered in the...
The goal of this issue is to list and discuss trajectories from the literature to implement. I gathered a bunch of articles, and I would be curious to know -...
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Doing non-Cartesian MR Imaging has never been so easy.