Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
563-01-003 ISMRM Abstract

Whole-brain 3D high-resolution elastography in mice reveals early changes during AD progression

Accepted
Runke Wang 1,2,3, Qian Suo1,2,3, Shengyuan Ma1,2,3, Yunyun Duan4, Peng Hu5, Yining Wang6, Yaou Liu4, Fuhua Yan7, Guang-Zhong Yang1,2,3, Yuan Feng1,2,3
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
3National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200240, China
4Beijing Tiantan Hospital, Capital Medical University, Beijing, China
5School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
6Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. Address: No.1, Shuaifuyuan, Dongcheng District, Beijing 100730, China
7Ruijin Hospital, Shanghai, China
Presenting Author: Runke Wang

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References

1. Murphy, M.C., J. Huston, 3rd, and R.L. Ehman, MR elastography of the brain and its application in neurological diseases. Neuroimage, 2019. 187: p. 176–183. doi:10.1016/j.neuroimage.2017.10.008 [doi]
2. Murphy, M.C., et al., Regional brain stiffness changes across the Alzheimer's disease spectrum. Neuroimage Clin, 2016. 10: p. 283–90. doi:10.1016/j.nicl.2015.12.007 [doi]
3. Murphy, M.C., et al., Decreased brain stiffness in Alzheimer's disease determined by magnetic resonance elastography. J Magn Reson Imaging, 2011. 34(3): p. 494–8. doi:10.1002/jmri.22707 [doi]
4. Munder, T., et al., MR elastography detection of early viscoelastic response of the murine hippocampus to amyloid β accumulation and neuronal cell loss due to Alzheimer's disease. J Magn Reson Imaging, 2017. 47(1): p. 105–114. doi:10.1002/jmri.25741 [doi]
5. Palotai, M., et al., Magnetic resonance elastography to study the effect of amyloid plaque accumulation in a mouse model. J Neuroimaging, 2022. 32(4): p. 617–628. doi:10.1111/jon.12996 [doi]
6. Majumdar, S. and D. Klatt, Longitudinal study of sub‐regional cerebral viscoelastic properties of 5XFAD Alzheimer's disease mice using multifrequency MR elastography. Magn Reson Med, 2021. 86(1): p. 405–414. doi:10.1002/mrm.28709 [doi]
7. Wang, R., et al., Multiscale measurement of brain tissue and cell biomechanics using a mouse model. Biophysics Reports: 1-10. doi:10.52601/bpr.2025.240049 [doi]
8. Guenthner, C., et al., Analysis and improvement of motion encoding in magnetic resonance elastography. NMR in Biomedicine, 2018. 31(5). doi:10.1002/nbm.3908 [doi]
9. Ma, S., et al., MR Elastography With Optimization-Based Phase Unwrapping and Traveling Wave Expansion-Based Neural Network (TWENN). IEEE Transactions on Medical Imaging, 2023. 42(9): p. 2631–2642. doi:10.1109/TMI.2023.3261346 [doi]
10. Wang, Q., et al., The Allen Mouse Brain Common Coordinate Framework: A 3D Reference Atlas. Cell, 2020. 181(4): p. 936–953.e20. doi:10.1016/j.cell.2020.04.007 [doi]
11. Avants, B.B., et al., The Insight ToolKit image registration framework. Frontiers in Neuroinformatics, 2014. 8. doi:10.3389/fninf.2014.00044 [doi]
12. Schneider, C.A., W.S. Rasband, and K.W. Eliceiri, NIH Image to ImageJ: 25 years of image analysis. Nature Methods, 2012. 9(7): p. 671–675. doi:10.1038/nmeth.2089 [doi]
13. Chen, W.-T., et al., Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer’s Disease. Cell, 2020. 182(4): p. 976–991.e19. doi:10.1016/j.cell.2020.06.038 [doi]

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