Supporting material for: "Free breathingly acquired myocardial perfusion data sets for performance analysis of motion compensation algorithms".
Dataset type: Imaging, Software, Virtual-Machine
Data released on October 23, 2014
Perfusion quantification by using first-pass gadolinium-enhanced myocardial perfusion magnetic resonance imaging (MRI) has proved to be a reliable tool for the diagnosis of coronary artery disease that leads to reduced blood flow to the myocardium.
Here we present the free breathing perfusion MRI series of ten patients considered clinically to have a stress perfusion defect. For each patient a rest and a stress study was executed. Manual segmentations of the left ventricle myocardium and the right-left ventricle insertion point are provided for all images in order to make a unified validation of the motion compensation algorithms and the perfusion analysis possible. In addition, all the scripts and the software required to run the experiments are provided alongside with the data, and to enable interested parties to directly run the experiments themselves, the test bed is also provided as a virtual hard disk.
All of the tools and plugins included in the virtual machine are under open source licenses, but to view the exact version they are under see the license section in the README document.
Read the peer-reviewed publication(s):
Wollny, G., & Kellman, P. (2014). Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms. GigaScience, 3(1). doi:10.1186/2047-217x-3-23