Context-Dependent Probabilistic Prior Information (CoDePPI)

CoDePPI is a better prior information extraction algorithm that focuses to use motion information from dynamic MRI scans.

This work is part of my Bachelor's Thesis.

Usage

Build docker container with

docker build . -t mri-reconstruction:latest

Spin up the container and run jupyter lab at port 8888

docker run -it -p 8888:8888 -v `pwd`:/mri-reconstruction --rm --detach --name mri-reconstruction mri-reconstruction

Open up your browser in localhost:8888

http://localhost:8888/

Dictionary

• b (1d array) - refers to the measurements vector
• samples_rows (1d array) - refers to the measurements positions in the image matrix
• h - oftentimes refers to the (list of) sparsifying filters used
• phi (1d array) - similar to samples_rows. Prior information matrix positions
• tau (float) - factor to multiply values in phi positions