/Partial_k-Space_Reconstruction

This repo includes various basic k-Space, i.e. half Fourier, reconstruction algorithms and related benchmarks for MRI post-processing.

Primary LanguageMATLAB

Partial_k-Space_Reconstruction

This repo includes various basic k-Space, i.e. half Fourier, reconstruction algorithms for MRI post-processing.

Furthermore, there is a benchmark to compare various algortihms by using SSIM and PSNR metrics over the reconstructed images.

Most of the intermediate and final results are displayed with detailed descriptions to enable following the algorithms easily.


Although written codes are founded upon Dwight Nishimura's "Principles of Magentic Resonance Imaging"[1] text and Karla Miller's "Image Formation"[2] lectures, reconstruction algortihm implementations of Mark Chiew[3] deserves the most credit. For more about Mark Chiew's works on Non-Cartesian Image Reconstruction or SENSE/GRAPPA Parallel Imaging you may check his personal webpage[4].