Showcase - Visualise and experiment with Fourier space (k-space) in MR imaging

Magnetic resonance imaging (MRI) collects radio frequency echoes. The collected signal is stored in a Fourier space (k-space) and it can be converted to images with Fourier transforms.
There are various techniques that aim to shorten MRI scan times. Some of them involve the k-space (for example skipping signal collection for certain parts of it). The relationship between k-space and image space can be counter-intuitive.
Consider skipping 30% of k-space lines (aka. partial Fourier). The corresponding image will be nearly identical to the original.
Or skip the 5% from the centre (high pass filter) and the image will be unusable.

Explore some of the possibilities with this app
https://share.streamlit.io/birogeri/kspace-explorer-streamlit/kspace.py

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