Liver fat quantification using a multi-step adaptive fitting approach with multi-echo GRE imaging

• Published in: Magnetic resonance in medicine Vol. 72; no. 5; pp. 1353 - 1365
• Main Authors: Zhong, Xiaodong, Nickel, Marcel D., Kannengiesser, Stephan A.R., Dale, Brian M., Kiefer, Berthold, Bashir, Mustafa R.
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishing Ltd 01.11.2014; Wiley Subscription Services, Inc
• Subjects: Computer Simulation; Dixon; fat quantification; Fatty Liver - diagnosis; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Imaging, Three-Dimensional - methods; iron quantification; liver; Magnetic Resonance Imaging - methods; Phantoms, Imaging; Prospective Studies; water fat separation; iron quantification; water fat separation; fat quantification; liver; Dixon

Purpose The purpose of this study was to develop a multi‐step adaptive fitting approach for liver proton density fat fraction (PDFF) and R2* quantification, and to perform an initial validation on a broadly available hardware platform. Theory and Methods The proposed method uses a multi‐echo three‐d...