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A Comprehensive 3D-Liver Fat Function Distribution Model Using Dixon MRI

October 20, 2023
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A Non-Invasive Tool to Assess and Differentiate Fat Patterns in Liver Using 3D Dixon MRI (Video) | JoVE

01:54 min
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Data Collection from Patient Liver-MRI Datasets to Validate the 3D Liver Fat Fraction Quantification (Video) | JoVE

01:19 min
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Extracting the 3D Region of the Liver and Computing Liver Fat Fraction Using MRI-Dixon Data (Video) | JoVE

02:32 min
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1Department of Infectious Diseases, Dongzhimen Hospital,Beijing University of Chinese Medicine, 2The First Clinical College,Beijing University of Chinese Medicine, 3Department of Radiology, Dongzhimen Hospital,Beijing University of Chinese Medicine, 4Fever Clinics, Dongzhimen Hospital,Beijing University of Chinese Medicine, 5Beijing Intelligent Entropy Science & Technology Co Ltd.

Summary

Automatic Translation

This study introduces a unique 3D quantification method for liver fat fraction (LFF) distribution using Dixon Magnetic Resonance Imaging (Dixon MRI). LFF maps, derived from in-phase and water-phase images, are integrated with 3D liver contours to differentiate LFF patterns between normal and steatotic livers, enabling precise assessment of liver fat content.

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