Parallel magnetic resonance imaging has emerged as an effective means for high-speed imaging in various applications. Although there is an enormous amount of publications on different reconstruction and processing techniques, little effort has been made to make these tools accessible to the general MR community. As a result, repeated efforts often have to be made by students and researchers new to the field to implement the tools from scratch based on the literature. Since the image quality in parallel MRI depends on various factors, such as receiver coil array configuration, reduction factor, k-space coverage and the method of reconstruction, there is a critical need for a toolbox that can be utilized to simulate and test different techniques before implementing them on the scanners.

PULSAR is our attempt to provide such a toolbox for the research community.  It is software written in MATLAB to provide a reconstruction toolbox for parallel magnetic resonance imaging using phased-array receivers. It can be used for a variety of purposes, such as testing and determining which parallel imaging method provides optimum performance, developing new imaging methods, or learning the different parallel imaging methods. This toolbox is not designed to be a comprehensive package of every known algorithm, but rather as a basic set of popular reconstruction tools.

This software is open source and free for download. Contributions of new algorithms for the toolbox are encouraged. Any concerns should be addressed to:

Jim Ji
208A Zachry Engineering Center
Department of Electrical Engineering
Texas A&M University
College Station, TX 77843-3128