k-space

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

MRI research guidance for coding agents — composable skills, established tools, and evidence-linked research memory. Install: npx skills add KeWang0622/MRFoundry

Improving high frequency image features of Deep Learning reconstructions via k-space refinement with null-space kernel

Analyzing various regularization parameter for k-space based parallel MR image reconstruction

k-strip: A novel segmentation algorithm in k-space for the application of skull stripping

Preprocessing and prediction pipeline for the classification of magnetic resonance imaging (MRI) that takes advantage of the information rich complex valued k-Space.

Physics-aware diffusion MRI reconstruction and tractography stress-testing framework

Collection of useful bash and python scripts for preparing calculations with VASP

GUI for automatic creation of POTCAR for POSCAR and calculations energy cut-off (Ecut) and k-space sampling convergence in VASP.

Fourier(k-space) Poisson solution, heterogeneous FEM solution and data viewing tools.

Graduate k-space masking for MRI image denoising and blurring (on the example of Agilent FID data). (Python 3)

Interactive MRI image reconstruction using k-space visualization and Fourier Transform. Upload DICOM images and watch live step-by-step reconstruction in your browser!

Official PyTorch implementation of FLEX-MRI: Stochastic Finite-Transition Learning and Exploration for Accelerated MRI Reconstruction

Rust library and CLI for Cartesian MRI k-space reconstruction.

Superposing two 2D materials can produce a Moiré superlattice structure. This app allows to visualize and calculate the lattice parameter of the produced Moiré.

Accelerated brain MRI reconstruction from 4x simulated k-space undersampling (RRDB + multi-stage fine-tuning). Research prototype only — not for clinical use.

Multi-paradigm PyTorch framework for MRI reconstruction and generative modelling: GAN, diffusion, VAE, flow, Mamba/SSM and physics-driven paradigms behind one audited, frozen-config training interface.

How does an MRI machine work? An interactive, open-source explainer. Glassbox No. 020.

This repository presents exercises related to magnetic resonance imaging (MRI) and an introduction to quantitative magnetic resonance imaging (qMRI).

k-space weighting and masking for denoising of MRI image without blurring or losing contrast, as well as for brightening of the objects in the image with simultaneous noise reduction (on the example of Agilent FID data). (Python 3)