Application of Deep Learning Neural Networks for Rapid Reconstruction of Spiral K-Space Data for Magnetic Resonance Imaging
Project submission for Intro to ML (EL-9123)
coursework.
- Clone repo
- Download and generate data (read below)
- Run network
- Clone repo
- Download grayscale images from ImageNet:
python3 get_data_imagenet.py
in your terminal - Run
IterAddPhase.m
in Matlab on all the downloaded folders - Download GPI v1-beta, and install
- Generate k-space data using samples from step 3 and
complex_spiral_traj280_58.mat
in thegen_kspace.net
- Place all the k-space data (in their belonging folders) in
imagenet_64_kspace
and the original images (in their belonging folders) inimagenet_64_orig
Fork and PR!