Doctors rely on MR (magnetic resonance) scans to acquire high quality images of the inside of the human body. Current MR scanning methods can be time-consuming and produce unclear images, especially in cardiac MRI (magnetic resonance imaging) and other scans for which patients must hold their breath.
An imaging technique called SMASH, developed at Beth Israel Deaconess Medical Center, improves the speed and accuracy of MR scans. SMASH uses radio frequency (RF) detectors arrayed around the patient to access multiple image components simultaneously, enabling doctors to examine areas that were previously unclear.
Beth Israel used MATLAB, the Image Processing Toolbox, and other MathWorks products throughout the development of SMASH. "MATLAB provides a combination of matrix manipulation and visualization capabilities that are key to our imaging work," says Dr. Daniel Sodickson, director of the Laboratory for Biomedical Imaging Research at Beth Israel Deaconess Medical Center.