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Abstract #1217

Improved Free-Breathing Volumetric Liver Fat and R2* Quantification Using 3D Stack-of-Radial GRE Dixon MRI and XD-GRASP Reconstruction

Xiaodong Zhong1, Marcel D Nickel2, Stephan A.R. Kannengiesser2, Brian M Dale3, Holden H Wu4, and Vibhas Deshpande5
1MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Cary, NC, United States, 4Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States, 5MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Austin, TX, United States

Synopsis

Keywords: Liver, Quantitative Imaging, Fat, R2*, IronRespiratory motion compensation is necessary for free-breathing stack-of-radial liver fat and R2* quantification. While self-gating is a valid approach, it may lead to degraded quality of images and quantitative maps and possible prolonged acquisition. A 3D XD-GRASP stack-of-radial technique was developed and evaluated in a motion phantom and in vivo subjects. Results demonstrated PDFF and R2* agreement of the proposed method compared to reference methods. Improved image and map quality and PDFF and R2* quantification agreement of the proposed method using an acceleration factor of 4 (equivalent to 105 seconds of time saving) were observed compared to the self-gating method.

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Keywords