kspace

⚕️ An educational tool to visualise k-space and aid the understanding of MRI image generation

Pytorch implementation of RAKI, k-space interpolation of MRI data

Code for cracking the fastMRI challenge.

K-space native detection of neurological pathologies, including microbleeds, invisible in standard reconstructed MRI images. Learns directly from raw MRI frequency-domain data to surface findings that image-based analysis structurally misses.

Code for evaluating prostate MRI DL reconstructions. Focuses on T2-weighted scans, undersampling simulation, DL model training, and diagnostic metric analysis.

k-Space to MRI Image — A Minimal Visualization

This repository simulates MRI image reconstruction using the Fast Fourier Transform Algorithm.

Upload of a project from BENG280A (Medical Imaging) at UC San Diego where my group investigated accelerated Magnetic Resonance Imaging reconstruction techniques using Convolutional Neural Networks in both the image and k-space domains.