Title : Noise analysis for 3-point chemical shift-based water-fat separation with spectral modeling of fat.

Pub. Date : 2010 Aug

PMID : 20677283






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1 Noise analysis for 3-point chemical shift-based water-fat separation with spectral modeling of fat. Water FAT atypical cadherin 1 Homo sapiens
2 PURPOSE: To model the theoretical signal-to-noise ratio (SNR) behavior of 3-point chemical shift-based water-fat separation, using spectral modeling of fat, with experimental validation for spin-echo and gradient-echo imaging. Water FAT atypical cadherin 1 Homo sapiens
3 Experimental validation in a fat-water phantom was performed and compared with theory. Water FAT atypical cadherin 1 Homo sapiens
4 Spectral modeling of fat more accurately separates fat and water signals, with only a slight decrease in the SNR performance of the water-only image, although with a relatively large decrease in the fat SNR performance. Water FAT atypical cadherin 1 Homo sapiens
5 CONCLUSION: The optimal echo combination that provides the best SNR performance for water using spectral modeling of fat is very similar to previous optimizations that modeled fat as a single peak. Water FAT atypical cadherin 1 Homo sapiens