Abstract #3573

Goldstein T, Zheng H, Jerosch-Herold M, Zheng J, Gropler R

Current first-pass perfusion quantification algorithms are relatively slow and noise-sensitive, making them impractical for clinical applications. The purpose of this study was to develop a method for fast mapping of myocardial perfusioj, aiming to potential clinical use. The algorithm developed is a linear deconvolution alogirthm. The algorithm was compared to the previously validated B-Splines algorithm with both simulations, and in vivo analysis on normal dogs. It was found that both algorithms perform similarly in term of accuracy. However, the novel algorithm can perform perfusion mapping in less than 3 seconds, as opposed to several minutes for the B-Spline algorithm.