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Abstract #0622

Simultaneous 3D T1, T2, and fat-fraction mapping with respiratory-motion correction, for comprehensive liver tissue characterisation at 0.55T

Donovan Tripp1, Radhouene Neji1, Karl P Kunze1,2, Michael G Crabb1, Claudia Prieto1,3,4, and René Botnar1,3,4,5
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom, 3School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 4Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile, 5Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

Synopsis

Keywords: Quantitative Imaging, Quantitative Imaging, Liver, Low-Field

Motivation: Mulitparametric quantitative MRI is a powerful tool for diagnosis of liver disease, but current clinical sequences will acquire 2D slices in separate scans, prone to misregistration.

Goal(s): Demonstrate the simultaneous in-vivo acquisition of T1, T2, and fat fraction maps over the whole liver from a single free-breathing scan at 0.55T.

Approach: A dictionary-matching-based framework with non-rigid respiratory motion corrected reconstruction was validated in a cohort of ten healthy subjects.

Results: T1, T2, and fat fraction values acquired in phantoms and in vivo showed good agreement with values from corresponding reference scans.

Impact: Our technique promises an efficient means to acquire multiple parameter maps providing comprehensive staging and diagnosis of non-alcoholic fatty liver disease, believed to affect over two billion people worldwide.

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