Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging

Junyi Liu; Rendong Zhang; Aaron Carass; Curtis L. Johnson; Jerry L. Prince; Ahmed Alshareef

doi:10.1117/12.3008361

2 April 2024 Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging

Junyi Liu, Rendong Zhang, Aaron Carass, Curtis L. Johnson, Jerry L. Prince, Ahmed Alshareef

Proceedings Volume 12930, Medical Imaging 2024: Clinical and Biomedical Imaging; 1293028 (2024) https://doi.org/10.1117/12.3008361
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

Magnetic Resonance Elastography (MRE) is a noninvasive method for quantitatively assessing the viscoelastic properties of tissues, such as the brain. MRE has been successfully used to measure the material properties and diagnose diseases based on the difference in mechanical properties between diseased and normal tissue. However, MRE is still an emerging technology that is not part of routine clinical imaging like structural Magnetic Resonance Imaging (MRI), and the acquisition equipment is not widely available. Thus, it is challenging to collect MRE, but there is an increasing interest in it. In this study, we explore using structural MRI images to synthesize the MRE-derived material properties of the human brain. We use deep networks that employ both MRI and Diffusion Tensor Imaging (DTI) to explore the best input images for MRE image synthesis. This work is the first study to report on the feasibility of MRE synthesis from structural MRI and DTI.

Citation Download Citation

Junyi Liu, Rendong Zhang, Aaron Carass, Curtis L. Johnson, Jerry L. Prince, and Ahmed Alshareef "Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging", Proc. SPIE 12930, Medical Imaging 2024: Clinical and Biomedical Imaging, 1293028 (2 April 2024); https://doi.org/10.1117/12.3008361

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