Abstract #2484

Fast and Robust Separation of Multiple Chemical Species from Arbitrary Echo Times with Complete Immunity to Phase Wrapping

Yun Jiang¹, Mark Griswold¹,², Jeffrey Tsao³

¹Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; ²Department of Radiology, Case Center for Imaging Research, University Hospitals of Cleveland and Case Western Reserve University, Cleveland, OH, United States; ³McKinsey & Company, Boston, MA, United States

We report a fast and robust method, hierarchical IDEAL, which has been extended to separate multiple chemical species from images acquired at three or more arbitrary echo times. The new method is completely immune to phase wrapping issues, and the optimized algebraic formulation allows for high computational efficiency. Representative results from human ankle and knee images are shown to demonstrate its performance.