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Abstract #2581

Fat Content Quantification Errors Using Multiple Gradient Echo Imaging: A Phantom and Simulation Study

Benjamin Leporq1, Hlne Ratiney1, Sophie Cavassila1, Frank Pilleul2, Olivier Beuf1

1Universit de Lyon, Creatis-LRMN, CNRS UMR 5220, Inserm U630, INSA-Lyon, Universit Lyon 1, Villeurbanne, France; 2Universit de Lyon, Creatis-LRMN, CNRS UMR 5220, Inserm U630, INSA-Lyon, Universit Lyon 1, Hospices Civils de Lyon, Lyon, France


In the past decade, the incidence increase of obesity, diabetes and lipid metabolism disorders involved an epidemic increase of Non-Alcoholic Fatty Liver Diseases (NAFLD) in the occidental population. Because NAFLD can evolve into Non-Alcoholic Steato-Hepatitis (NASH) and may lead to liver fibrosis up to cirrhosis, a clinical follow-up of NAFLD would be very valuable. This work investigated fat content quantification error using different models based on multiple gradient echo imaging and presents some computer simulations, phantom study and examples of in-vivo application. Multiple gradient echo acquisitions with two different flip angles associated with a model correcting for T1 saturation and T2* decay appears to be a simple but effective non-invasive method available on all clinical systems to monitor patients with chronic liver diseases.