Abstract #4756

Characterizing nearly incompressible transversely isotropic (NITI) biological tissue with MR elastography

Shengyuan Ma^1,2,3, Zhao He^1,2,3, Runke Wang^1,2,3, Aili Zhang¹, Qingfang Sun⁴, Jun Liu⁵, Fuhua Yan⁶, Michael S. Sacks⁷, Xi-Qiao Feng⁸, Guang-Zhong Yang^1,2,3, and Yuan Feng^1,2,3,6

¹School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, ²Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China, ³National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai, China, ⁴Department of Neurosurgery, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁵Department of Neurology and Institute of Neurology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁶Department of Radiology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁷James T. Willerson Center for Cardiovascular Modeling & Simulation, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, United States, ⁸Institute of Biomechanics and Medical Engineering, Department of Engineering Mechanics, Tsinghua University, Beijing, China

Synopsis

Keywords: Elastography, Data Processing, Transversely isotropic;traveling wave expansion;anisotropic elastography reconstruction

Motivation: The anisotropic mechanical properties of fiber-embedded biological tissues are crucial for understanding development, aging, disease progression, and treatment response.

Goal(s): Measure mechanical anisotropy in vivo using elastography in a fast and accurate way.

Approach: A computational framework using the traveling wave expansion model that exploits the wave characteristics of transversely isotropic materials was proposed.

Results: Simulations, ex vivo muscle tissue, and in vivo human brain experiments validate the performance of the proposed method in measuring the anisotropic biomechanical properties, showing its potential for assessing fiber-embedded tissues.

Impact: The TWE-NITI method offers an accurate and fast way to measure fiber-reinforced tissues in vivo, showing the potential application of anisotropic MRE. Furthermore, the proposed framework may also help solving the inverse problem in other fields.

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