Work

Chemical shift–based water/fat separation: A comparison of signal models

Year: 2010

Type: article

Abstract: Quantitative water/fat separation in MRI requires careful modeling of the acquired signal. Multiple signal models have been proposed in recent years, but their relative performance has not yet been established. This article presents a comparative study of 12 signal models for quantitative water/fat separation. These models were selected according to three main criteria: magnitude or complex fitting, use of single-peak or multipeak fat spectrum, and modeling of T(2)(*) decay. The models were compared based on an analysis of the bias and standard deviation of their resulting estimates. Results from theoretical analysis, simulation, phantom experiments, and in vivo data were in good agreement. These results show that (a) complex fitting is uniformly superior to magnitude fitting, (b) multipeak fat modeling is able to remove the bias present in single-peak fat modeling, and (c) a single-T(2)(*) model performs best over a range of clinically relevant signal-to-noise ratios (SNRs) and water/fat ratios.

Source: Magnetic Resonance in Medicine

DOI: 10.1002/mrm.22455

Authors: Diego Hernando, Zhi‐Pei Liang, Peter Kellman

Institutions: University of Illinois Urbana-Champaign, National Institutes of Health, National Heart, Lung, and Blood Institute

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: Siemens, National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources

Awards: G2976580299, G4366128196, G4411643199, Resource for MRI of Neurodegenerative Disorders, G573151204