Minimum-norm reconstruction for sensitivity-encoded magnetic resonance spectroscopic imaging.
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.
Sánchez-González
Javier
J
Laboratorio de Imagen, Medicina y Cirugía Experimental, Hospital General Universitario Gregorio Marañón, Madrid, Spain. jsanchez@mce.hggm.es
Tsao
Jeffrey
J
Dydak
Ulrike
U
Desco
Manuel
M
Boesiger
Peter
P
Paul Pruessmann
Klaas
K
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
D001224:Aspartic Acid; D019344:Lactic Acid; C000179:N-acetylaspartate