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Updated: Jul 5, 2026

A 3D Quantification Technique for Liver Fat Fraction Distribution Analysis Using Dixon Magnetic Resonance Imaging
Published on: October 20, 2023
[The application of 3D liver acquisition volume acceleration integrated with array spatial sensitivity encoding
Wei Wu1, Jian-nong Zhao, Da-jing Guo
1Department of Radiology, Second Affiliated Hospital of Chongqing University of Medical Sciences, Chongqing 400010, China.
The 3D liver acquisition volume acceleration (3D-LAVA) technique, enhanced with array spatial sensitivity encoding (ASSET), improves liver dynamic-enhancement scanning. This method offers higher quality multi-phase imaging and better lesion detection in less time.
Area of Science:
- Radiology
- Medical Imaging
Background:
- Liver dynamic-enhancement scanning is crucial for diagnosing hepatic lesions.
- Conventional 2D fast spoiled gradient recalled echo (2D-FSPGR) has limitations in speed and sensitivity.
Purpose of the Study:
- To evaluate the efficacy of 3D liver acquisition volume acceleration (3D-LAVA) combined with array spatial sensitivity encoding (ASSET) for liver dynamic-enhancement MRI.
- To assess its performance in lesion detection and acquisition time reduction compared to conventional methods.
Main Methods:
- 147 patients underwent liver MRI using either 3D-LAVA (n=90) or 2D-FSPGR (n=57).
- ASSET was integrated with 3D-LAVA in 72 patients.
- Portal vein illustration was compared between 3D-LAVA with MIP and contrast-enhanced MR angiography (CE-MRA).
Main Results:
- 3D-LAVA demonstrated higher sensitivity than 2D-FSPGR in detecting metastatic hepatic carcinomas.
- Integration of ASSET with 3D-LAVA enabled acquisition of earlier and peak arterial phase images.
- 3D-LAVA provided comparable visualization of portal vein anatomy to CE-MRA.
Conclusions:
- 3D-LAVA integrated with ASSET significantly shortens acquisition time while yielding high-quality, multi-phase dynamic liver enhancement images.
- This technique enhances lesion detection and visualizes vascular anatomy effectively.
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