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

October 20th, 2023

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

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

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

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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Fan Zhao¹, Genming Zhang², Zhongjian Tan³, Tengxiao Liang⁴, Fangliang Xing⁵

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.

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本研究引入了一种独特的 3D 定量方法，使用 Dixon 磁共振成像（Dixon MRI）对肝脏脂肪分数（LFF）分布进行定量。从同相和水相图像得出的 LFF 图与 3D 肝脏轮廓集成，以区分正常肝脏和脂肪变性肝脏之间的 LFF 模式，从而能够精确评估肝脏脂肪含量。

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