Automated Liver Segmentation and Fat Fraction

On the post-processing platform (Intellispace portal v9.0, ISP v9.0, Philips Healthcare, Best, the Netherland), the software algorithm (multimodality tumor tracking, MMTT) could recognize the 3D margins of the liver on FF maps, and the whole liver was then semi-automatically traced with necessary manual corrections. The main portal vein, inferior vena cava, and the gallbladder were manually removed. After liver segmentation, the whole hepatic FF was automatically calculated (11 (link)).

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Zhang Q.H., Chen L.H., An Q., Pi P., Dong Y.F., Zhao Y., Wang N., Fang X., Pu R.W., Song Q.W., Lin L.J., Liu J.H, & Liu A.L. (2023). Quantification of the renal sinus fat and exploration of its relationship with ectopic fat deposition in normal subjects using MRI fat fraction mapping. Frontiers in Endocrinology, 14, 1187781.

Publication 2023

Intellispace portal v9.0

Gallbladder Inferior vena cava Liver Maps Multimodality Portal vein Tumor

Corresponding Organization :

Other organizations : Dalian Medical University, First Affiliated Hospital of Dalian Medical University, Philips (China)

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Variable analysis

independent variables

Multimodality tumor tracking (MMTT) software algorithm

dependent variables

3D margins of the liver on FF maps
Whole hepatic fat fraction (FF)

control variables

Main portal vein
Inferior vena cava
Gallbladder

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