Multiecho water-fat separation and simultaneous R2 estimation with multifrequency fat spectrum modeling

• Published in: Magnetic resonance in medicine Vol. 60; no. 5; p. 1122
• Main Authors: Yu, Huanzhou, Shimakawa, Ann, McKenzie, Charles A, Brodsky, Ethan, Brittain, Jean H, Reeder, Scott B
• Format: Journal Article
• Language: English
• Published: United States 01.11.2008
• Subjects: Adipose Tissue - anatomy & histology; Adipose Tissue - chemistry; Algorithms; Animals; Computer Simulation; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Magnetic Resonance Spectroscopy - methods; Models, Biological; Models, Chemical; Reproducibility of Results; Sensitivity and Specificity; Water - chemistry
• ISSN: 1522-2594; 1522-2594
• DOI: 10.1002/mrm.21737

Multiecho chemical shift-based water-fat separation methods are seeing increasing clinical use due to their ability to estimate and correct for field inhomogeneities. Previous chemical shift-based water-fat separation methods used a relatively simple signal model that assumes both water and fat have a single resonant frequency. However, it is well known that fat has several spectral peaks. This inaccuracy in the signal model results in two undesired effects. First, water and fat are incompletely separated. Second, methods designed to estimate T(2) (*) in the presence of fat incorrectly estimate the T(2) (*) decay in tissues containing fat. In this work, a more accurate multifrequency model of fat is included in the iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) water-fat separation and simultaneous T(2) (*) estimation techniques. The fat spectrum can be assumed to be constant in all subjects and measured a priori using MR spectroscopy. Alternatively, the fat spectrum can be estimated directly from the data using novel spectrum self-calibration algorithms. The improvement in water-fat separation and T(2) (*) estimation is demonstrated in a variety of in vivo applications, including knee, ankle, spine, breast, and abdominal scans.