DocumentCode :
2411279
Title :
Spatial spectral modeling for robust MRSI
Author :
Eslami, Ramin ; Jacob, Mathews
Author_Institution :
Dept. of Biomed. Eng., Univ. of Rochester, Rochester, NY, USA
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
6663
Lastpage :
6666
Abstract :
We propose a novel spatial spectral model for the reconstruction of magnetic resonance spectroscopic imaging (MRSI) signal. We penalize the compartmentalized spatial total variation norm of the signal to exploit the spatial properties of the metabolite peaks. The spectral signal is modeled as a sparse linear combination of spikes and polynomials to capture the peaks and baseline induced by unsuppressed water and lipids. We also use the high-resolution map of the magnetic field distribution within the slice to model the image acquisition, thus correcting for intra-voxel line shape distortions. The spectral model enables the stable recovery of the signal even in challenging spatial regions, while the spatial model suppresses the spectral leakage from extra-cranial fat and inter-voxel crosstalk. We acquire the MRSI signal using EPSI, while the high-resolution 3-D MRI information is derived using Dixon scans. The reconstruction of phantom and in vivo MRSI data demonstrate a significant improvement in spectral quality and accuracy over classical MRSI schemes.
Keywords :
biomagnetism; biomedical MRI; image reconstruction; lipid bilayers; medical image processing; phantoms; polynomials; Dixon scans; EPSI; compartmentalized spatial total variation norm; extracranial fat; image acquisition; image reconstruction; intervoxel crosstalk; intravoxel line shape distortions; lipids; magnetic field distribution; metabolite peaks; phantom; polynomials; robust MRSI; spatial spectral modeling; spikes; unsuppressed water; Aspartic Acid; Brain Neoplasms; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Models, Biological; Phantoms, Imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5334516
Filename :
5334516
Link To Document :
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