Meeting Banner
Abstract #1672

Signal Model Consistency Analysis of Different Protocols and Spectral Models in Multi Gradient Echo Liver PDFF and R 2 * Quantification

Mario A. Bacher 1,2 , Xiaodong Zhong 3 , Brian M. Dale 4 , Marcel D. Nickel 2 , Berthold Kiefer 2 , Mustafa R. Bashir 5 , Rudolf Stollberger 1 , and Stephan A.R. Kannengiesser 2

1 Institute of Medical Engineering, Technical University Graz, Graz, Austria, 2 MR Applications Development, Siemens AG, Healthcare Sector, Erlangen, Germany, 3 MR R&D Collaborations, Siemens Healthcare, Atlanta, GA, United States, 4 MR R&D Collaborations, Siemens Healthcare, Cary, NC, United States, 5 Department of Radiology, Duke University Medical Center, Durham, NC, United States

Multi gradient echo quantification of liver proton density fat fraction (PDFF) and transverse relaxation rate (R2*) was analyzed using model consistency metrics. Different acquisition protocols and fat spectral models as reconstruction parameters were compared. Data from twenty healthy volunteers showed no significant differences in PDFF for different protocols, but significant differences in PDFF and R2* for different protocols and spectral models. With respect to fitting error, the protocols were significantly different, whereas the spectral models were not significantly different from each other. Model consistency analysis is a useful tool for evaluating multi gradient echo imaging with advanced quantification

This abstract and the presentation materials are available to members only; a login is required.

Join Here