Replication code for ISMRM 2021 #1184

Robust and Computationally Efficient Missing Point and Phase Estimation for Zero Echo Time (ZTE) Sequences

Curtis Corum*1,2, Abdul Haseeb Ahmed2, Mathews Jacob2, Vincent Magnotta2 and Stanley Kruger2

1Champaign Imaging LLC, Shoreview, MN, USA

2University of Iowa, Iowa City, IA, USA

*Curtis Corum of Champaign Imaging LLC is developing products related to this research

and ISMRM 2022 #4068

Robust and Computationally Efficient Missing Point and Phase Estimation for Multi-Channel Acquisition with ZTE Sequences

Curtis A Corum1,2, Stanley J Kruger2, Mathews Jacob3, Vincent A Magnotta2, and James H Holmes2

1Champaign Imaging LLC, Shoreview, MN, United States, 2Radiology, University of Iowa, Iowa City, IA, United States, 3Electrical and Computer Engineering, University of Iowa, Iowa City, IA, United States

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

So far tested only in linux environments, specifically Ubuntu 18.04 and Ubuntu 20.04

Requires: matlab

To clone and get started:

git clone [email protected]:curtcorum/missing_points_phase.git

cd missing_points_phase

To build mexa64 binaries

cd matlab/DCF_Estimation

make

To do a gridding reconstruction and plot figures from an example dataset:

cd ../..

nice matlab

Once matlab starts up:

>testobj = ngfnRecon;

And select the .mat file to reconstruct via the dialog:

Output including a log and nifti files will be created in the same directory as the source dataset.

Datasets with various amounts of noise and missing points can be downloaded from:

https://www.dropbox.com/sh/16fctr9otvzbj3s/AACqbi1CINd2NuMTi72tg8daa?dl=0