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• Review •
Principles and clinical application advances of virtual magnetic resonance elastography based on DWI
SONG Xueliang  CHEN Shujun  DENG Ping  XIONG Yuan  LI Mei  ZHANG Xiaoming  LI Xinghui 

DOI:10.12015/issn.1674-8034.2026.01.032.


[Abstract] virtual magnetic resonance elastography (vMRE) is an emerging technology based on diffusion-weighted imaging (DWI) that noninvasively assesses tissue stiffness by estimating virtual shear modulus through water molecule diffusion. Tissue mechanical properties are closely associated with various diseases such as liver fibrosis and tumor infiltration. However, traditional magnetic resonance elastography relies on specialized vibration devices, limiting its clinical adoption. Recent studies indicate that DWI-vMRE holds diagnostic value in liver fibrosis, intracranial tumors, and lesions in organs such as the breast and lungs, enabling quantitative assessment of tissue mechanical properties without specialized hardware. However, existing research primarily consists of small-sample, single-center studies, with inconsistent models and scanning protocols, and a lack of systematic reviews and standardized guidelines. This paper comprehensively reviews the physical principles, parameter calculation methods, and common scanning strategies of vMRE. It summarizes its application progress in multiple systemic diseases, identifies key limitations such as model assumptions, confounding factors, and reproducibility of results, and explores future research directions integrating vMRE with multimodal MRI and artificial intelligence technologies. This review aims to provide insights for subsequent basic and clinical research and serve as a reference for noninvasive imaging assessment of soft tissue stiffness.
[Keywords] virtual elasticity imaging；diffusion-weighted imaging；magnetic resonance imaging；hardness；non-invasive diagnosis；multimodal imaging

SONG Xueliang1, 2   CHEN Shujun1, 2   DENG Ping1, 2   XIONG Yuan1, 2   LI Mei1   ZHANG Xiaoming1, 2   LI Xinghui1, 2*  

1 Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China

2 Sichuan Province Key Laboratory of Medical Imaging; Nanchong 637000, China

Corresponding author: LI X H, E-mail: 15956912758@163.com

Conflicts of interest   None.

Received  2025-11-07
Accepted  2026-01-04
DOI: 10.12015/issn.1674-8034.2026.01.032
DOI:10.12015/issn.1674-8034.2026.01.032.

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