title: Minimum-norm reconstruction for sensitivity-encoded magnetic resonance spectroscopic imaging.
abstract: In this work we propose minimum-norm reconstruction as a means to enhance the spatial response behavior in parallel spectroscopic MRI. By directly optimizing the shape of the spatial response function (SRF), the new method accounts for coil sensitivity variation across individual voxels and their side lobes. In this fashion, it mitigates the signal contamination and side-lobe aliasing, to which previous techniques are susceptible at low resolution. Although the computational burden is higher, minimum-norm reconstruction is shown to be feasible using an iterative algorithm. Benefits in terms of SRF shape and artifact suppression are demonstrated.
authors.affiliation: Laboratorio de Imagen, Medicina y Cirugía Experimental, Hospital General Universitario Gregorio Marañón, Madrid, Spain. jsanchez@mce.hggm.es
authors.forename: Javier
authors.initials: J
authors.lastname: Sánchez-González
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Tsao
authors.forename: Ulrike
authors.initials: U
authors.lastname: Dydak
authors.forename: Manuel
authors.initials: M
authors.lastname: Desco
authors.forename: Peter
authors.initials: P
authors.lastname: Boesiger
authors.forename: Klaas
authors.initials: K
authors.lastname: Paul Pruessmann
mesh_terms: D000465:Algorithms; D001224:Aspartic Acid / Q000031:analogs & derivatives / Q000737:chemistry; D003198:Computer Simulation; D007091:Image Processing, Computer-Assisted; D019344:Lactic Acid / Q000737:chemistry; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D019047:Phantoms, Imaging; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted
chemical_list: D001224:Aspartic Acid; D019344:Lactic Acid; C000179:N-acetylaspartate