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Abstract #0541

Liver Fat Quantification in Infants using Free-Breathing 3D Stack-of-Radial MRI and Phase-Corrected Non-Rigid Motion Compensation

Shu-Fu Shih1, Sevgi Gokce Kafali1, Timoteo I. Delgado1, Ashley Dong2, Shahnaz Ghahremani Koureh1, Kara L. Calkins2, and Holden H. Wu1
1Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States, 2Department of Pediatrics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States

Synopsis

Keywords: Body, Fat and Fat/Water Separation, Motion compensation, Infant

Motivation: Events during fetal life and early childhood can contribute to the development of pediatric obesity and metabolic syndrome. Currently, there is not a well-established research tool to study fat distribution in non-sedated infants.

Goal(s): To develop a non-rigid motion compensation reconstruction technique for quantification of proton density fat fraction (PDFF) in infants.

Approach: We incorporated deformation vector field information to a compressed sensing model for non-rigid motion. Image sharpness and PDFF measurement in the liver from different reconstruction methods were compared.

Results: Non-rigid motion compensation compressed sensing reconstruction can reduce the artifacts, improve the image sharpness, leading to more reliable PDFF maps.

Impact: This technique has the potential to serve as a useful research tool for investigating liver fat distribution or body composition in infants without sedation.

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