title: Bayesian k -space-time reconstruction of MR spectroscopic imaging for enhanced resolution.
authors.affiliation: Department of Radiology and Biomedical Imaging and the Department of Epidemiology and Biostatistics, University of California, SanFrancisco, San Francisco, CA 94107, USA. john.kornak@ucsf.edu
authors.forename: John
authors.initials: J
authors.lastname: Kornak
authors.forename: Karl
authors.initials: K
authors.lastname: Young
authors.forename: Brian J
authors.initials: BJ
authors.lastname: Soher
authors.forename: Andrew A
authors.initials: AA
authors.lastname: Maudsley
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D001704:Biopolymers / Q000378:metabolism*; D001921:Brain / Q000033:anatomy & histology / Q000378:metabolism*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D001704:Biopolymers