Abstract #3156

Fast Fat/Water Decomposition Using GPU Computation and Newton's Method

David Johnson¹, Sreenath Narayan², Chris Flask,^2,3, David Wilson^2,3

¹Heart and Lung Research Institute, Ohio State University, Columbus, OH, United States; ²Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; ³Radiology, University Hospitals of Cleveland, Cleveland, OH, United States

An improved fat/water estimation technique was developed using Iterative Decomposition of Water and Fat with Echo Asymmetry and Least-squares estimation method and Graphics Computational Units (IDEAL-GPU). The IDEAL-GPU technique produced robust fat and water images quickly and efficiently using a vectorized equation implemented on graphics cards. In addition, our implementation used binary weighted planar extrapolation for robust estimation in the face of large field variations on a high field, small animal scanner. Fast computation will become even more significant as the trend towards high resolution, whole body mouse and human scanning continues.