The Theory behind IDEAL: Cramer-Rao Bounds for Chemical Species Separation in Magnetic Resonance Im

The Theory behind IDEAL: Cramer-Rao Bounds for Chemical Species Separation in Magnetic Resonance ImagingAngel R. Pineda, PhD
Department of Mathematics
CSU-FullertonAbstract:The separation of water and fat in MRI through the acquisition of images at multiple echo times provides a robust method for fat suppression in areas where the field is inhomogeneous and fat saturation pulses fail. By accurately estimating the fat component, we are also able to explore diagnostic information that may exist in the fat image. In this talk, we will show how to propagate the imperfections of the magnetic field into our estimate of water and fat and use this understanding to optimize the imaging parameters. Introducing the imperfections in the magnetic field in the estimation of the water and fat makes the estimation nonlinear. The optimization of data acquisition based on the Cramer-Rao bound for this nonlinear problem leads to a new optimal solution. Our acquisition and reconstruction is part of the IDEAL method for chemical species separation.Bio:Dr. Pineda received his BS from Lafayette College in 1995, his PhD in Mathematics from the University of Arizona in 2002, and completed a postdoctoral fellowship in Radiology at Stanford University in 2006. He is the author of 15 refereed journal articles, and has made numerous contributions to CT and MRI reconstruction, including optimization of the IDEAL fat-water separation technique which is emerging as a gold-standard for MRI-based fat-water imaging. He recently joined the faculty in the Department of Mathematics at CSU-Fullerton.Host: Krishna S. Nayak, 0-3494, knayak@usc.edu http://ee.usc.edu/

Location: Room: EEB 248

Audiences: Everyone Is Invited

Contact: Talyia Veal