MIRT: Michigan Image Reconstruction Toolbox (Julia version)

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

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

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.

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

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

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.

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

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

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)

Reliable SNR estimation directly from k-space data in radial multi-coil MRI.

k-space based details/edges detection in MRI images with optional k-space based denoising and detail control (on the example of Agilent FID data). (Python 3)

BIOENG 1340: Medical Imaging Projects

k-Space to MRI Image — A Minimal Visualization