Title :
Correction of field inhomogeneity effects on limited k-space MRSI data using anatomical constraints
Author :
Peng, Xi ; Nguyen, Hien ; Haldar, Justin ; Hernando, Diego ; Wang, Xian-Pei ; Liang, Zhi-Pei
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
Magnetic field inhomogeneity is a long-standing problem in magnetic resonance imaging (MRI) and spectroscopic imaging (MRSI). Specifically, in MRSI, field inhomogeneity, if not corrected, can cause frequency shifts, line broadening, and lineshape distortions in the spectral peaks. This paper addresses the problem of correcting the field inhomogeneity effects on limited k-space MRSI data. A penalized maximum-likelihood method is proposed, which enables the use of anatomical constraints for improving the correction performance with only limited k-space data. Simulation results are shown to demonstrate the effectiveness of the proposed method.
Keywords :
biomedical MRI; magnetic resonance spectroscopy; maximum likelihood detection; MRI; frequency shifts; limited k-space MRSI; line broadening; lineshape distortions; magnetic field inhomogeneity; magnetic resonance imaging; magnetic resonance spectroscopic imaging; penalized maximum-likelihood method; Brain modeling; Encoding; Image reconstruction; Magnetic resonance imaging; Nonhomogeneous media; Spatial resolution; Algorithms; Brain; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Reproducibility of Results; Sensitivity and Specificity; Tissue Distribution;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627873