Ex vivo evaluation of mouse brain elasticity using high-frequency ultrasound elastography

Fang Yi Lay, Pei Yu Chen, Hsiang Fan Cheng, Yu Min Kuo, Chih Chung Huang

研究成果: Article

摘要

Objective: Most neurodegenerative diseases are highly linked with aging. The mechanical properties of the brain should be determined for predicting and diagnosing age-related brain diseases. A preclinical animal study is crucial for neurological disease research. However, estimation of the elasticity properties of different regions of mouse brains remains difficult because of the size of the brain. In this paper, high-frequency ultrasound elastography (HFUSE) based on shear wave imaging was proposed for mapping the stiffness of the mouse brain at different ages ex vivo. Methods: For HFUSE, a 40-MHz ultrasound array transducer with an ultrafast ultrasound imaging system was used in this paper. The accuracy and resolution during HFUSE were determined through a mechanical testing system and by conducting phantom experiments. Results: In the experiments, the error in the elastic modulus measurement was approximately 10% on average, and the axial resolution was 248 μm. Animal testing was conducted using mice that were 4 (young aged) and 11 (middle aged) months old. The elasticity distributions of the cortex and hippocampus in the mouse brains were obtained through HFUSE. Conclusion: The average shear moduli of the cortex and hippocampus were 3.84 and 2.33 kPa for the 4-month-old mice and 3.77 and 1.94 kPa for the 11-month-old mice, respectively. No statistical difference was observed in the cortex stiffness of mice of different ages. However, the hippocampus significantly softened with aging.

原文English
文章編號8668542
頁(從 - 到)3426-3435
頁數10
期刊IEEE Transactions on Biomedical Engineering
66
發行號12
DOIs
出版狀態Published - 2019 十二月

指紋

Elasticity
Brain
Ultrasonics
Animals
Aging of materials
Elastic moduli
Stiffness
Neurodegenerative diseases
Mechanical testing
Shear waves
Imaging systems
Transducers
Experiments
Imaging techniques
Mechanical properties
Testing

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

引用此文

Lay, Fang Yi ; Chen, Pei Yu ; Cheng, Hsiang Fan ; Kuo, Yu Min ; Huang, Chih Chung. / Ex vivo evaluation of mouse brain elasticity using high-frequency ultrasound elastography. 於: IEEE Transactions on Biomedical Engineering. 2019 ; 卷 66, 編號 12. 頁 3426-3435.
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abstract = "Objective: Most neurodegenerative diseases are highly linked with aging. The mechanical properties of the brain should be determined for predicting and diagnosing age-related brain diseases. A preclinical animal study is crucial for neurological disease research. However, estimation of the elasticity properties of different regions of mouse brains remains difficult because of the size of the brain. In this paper, high-frequency ultrasound elastography (HFUSE) based on shear wave imaging was proposed for mapping the stiffness of the mouse brain at different ages ex vivo. Methods: For HFUSE, a 40-MHz ultrasound array transducer with an ultrafast ultrasound imaging system was used in this paper. The accuracy and resolution during HFUSE were determined through a mechanical testing system and by conducting phantom experiments. Results: In the experiments, the error in the elastic modulus measurement was approximately 10{\%} on average, and the axial resolution was 248 μm. Animal testing was conducted using mice that were 4 (young aged) and 11 (middle aged) months old. The elasticity distributions of the cortex and hippocampus in the mouse brains were obtained through HFUSE. Conclusion: The average shear moduli of the cortex and hippocampus were 3.84 and 2.33 kPa for the 4-month-old mice and 3.77 and 1.94 kPa for the 11-month-old mice, respectively. No statistical difference was observed in the cortex stiffness of mice of different ages. However, the hippocampus significantly softened with aging.",
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Ex vivo evaluation of mouse brain elasticity using high-frequency ultrasound elastography. / Lay, Fang Yi; Chen, Pei Yu; Cheng, Hsiang Fan; Kuo, Yu Min; Huang, Chih Chung.

於: IEEE Transactions on Biomedical Engineering, 卷 66, 編號 12, 8668542, 12.2019, p. 3426-3435.

研究成果: Article

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