title: Algorithm comparison for schedule optimization in MR fingerprinting.
abstract: In MR Fingerprinting, the flip angles and repetition times are chosen according to a pseudorandom schedule. In previous work, we have shown that maximizing the discrimination between different tissue types by optimizing the acquisition schedule allows reductions in the number of measurements required. The ideal optimization algorithm for this application remains unknown, however. In this work we examine several different optimization algorithms to determine the one best suited for optimizing MR Fingerprinting acquisition schedules.
authors.affiliation: Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA; Department of Radiology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: ouri@nmr.mgh.harvard.edu.
authors.forename: Ouri
authors.initials: O
authors.lastname: Cohen
authors.affiliation: Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA; Department of Radiology, Harvard Medical School, Boston, MA 02115, USA; Department of Physics, Harvard University, Cambridge, MA 02138, USA.
authors.forename: Matthew S
authors.initials: MS
authors.lastname: Rosen
mesh_terms: D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging* / Q000503:physiopathology; D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010349:Patient Compliance; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D016896:Treatment Outcome
keywords: MR fingerprinting; MRF; Schedule optimization; Tissue discrimination