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  Using spatial prior knowledge in the spectral fitting of MRS images

Kelm, B., Kaster, F., Henning, A., Weber, M.-A., Bachert, P., Boesiger, P., et al. (2012). Using spatial prior knowledge in the spectral fitting of MRS images. NMR in Biomedicine, 25(1), 1-13. doi:10.1002/nbm.1704.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-B86E-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-1F4E-7
Genre: Journal Article

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Kelm, BM, Author
Kaster, FO, Author
Henning, Anke1, Author              
Weber, M-A, Author
Bachert, P, Author
Boesiger, P, Author
Hamprecht, FA, Author
Menze, BH, Author
Affiliations:
1Institute for Biomedical Engineering, University and ETH Zurich, Switzerland, ou_persistent22              

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 Abstract: We propose a Bayesian smoothness prior in the spectral fitting of MRS images which can be used in addition to commonly employed prior knowledge. By combining a frequency-domain model for the free induction decay with a Gaussian Markov random field prior, a new optimization objective is derived that encourages smooth parameter maps. Using a particular parameterization of the prior, smooth damping, frequency and phase maps can be obtained whilst preserving sharp spatial features in the amplitude map. A Monte Carlo study based on two sets of simulated data demonstrates that the variance of the estimated parameter maps can be reduced considerably, even below the Cramér–Rao lower bound, when using spatial prior knowledge. Long-TE 1H MRSI at 1.5 T of a patient with a brain tumor shows that the use of the spatial prior resolves the overlapping peaks of choline and creatine when a single voxel method fails to do so. Improved and detailed metabolic maps can be derived from high-spatial-resolution, short-TE 1H MRSI at 3 T. Finally, the evaluation of four series of long-TE brain MRSI data with various signal-to-noise ratios shows the general benefit of the proposed approach.

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 Dates: 2012-01
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1002/nbm.1704
BibTex Citekey: KeimKHWBBHM2012
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Title: NMR in Biomedicine
Source Genre: Journal
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Pages: - Volume / Issue: 25 (1) Sequence Number: - Start / End Page: 1 - 13 Identifier: -