Transcranial ultrasound estimation of viscoelasticity and fluidity in brain tumors aided by transcranial shear waves
Copyright © 2024 Elsevier B.V. All rights reserved..
Cerebral diseases, such as brain tumors, are intricately linked to the mechanical properties of brain tissues. Estimating the mechanical properties of brain tumors using transcranial ultrasound is a promising approach. However, the complexity of cranial features introduces challenges, such as ultrasound attenuation and interference from multidirectional transcranial shear waves induced by impact vibrations. To address these issues, this study proposes a transcranial ultrasound estimation method assisted by transcranial shear vibrations. Transcranial vibrations apply shear forces on the parietal bone, inducing unidirectional transcranial shear waves within brain tissue, as validated through simulations. Shear waves at different frequencies were captured via transcranial ultrasound, which were used to assess the viscoelasticity and fluidity of brain tumors. Transcranial experimental validations were conducted in 3D-printed models with tumor phantoms and ex vivo animal tumors. Vibration safety assessments were also performed. The results demonstrate that transcranial ultrasound can detect micron displacements induced by transcranial shear waves. In phantom and ex vivo animal experiments, speed distribution maps were employed to determine the size and location of one or two tumors enclosed in the skull model. The results revealed that the proposed approach could detect tumors with a minimum diameter of 0.8 cm and an inter-tumor distance of 0.8 cm. Notably, significant differences in viscoelasticity and fluidity between normal brain tissue and brain tumors were found (p<0.001). The maximum assessment errors for the elasticity, viscosity, and fluidity using transcranial ultrasound were 11.90%, 4.82%, and 0.73%, respectively, indicating that fluidity was more robust than viscoelasticity. The maximum accelerations of the skull were only 3.21 ms-2.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:138 |
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| Enthalten in: |
Ultrasonics - 138(2024) vom: 29. März, Seite 107262 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Yu, Jianjun [VerfasserIn] |
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| Links: |
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| Themen: |
Brain tumors |
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| Anmerkungen: |
Date Completed 01.04.2024 Date Revised 01.04.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.ultras.2024.107262 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Cerebral diseases, such as brain tumors, are intricately linked to the mechanical properties of brain tissues. Estimating the mechanical properties of brain tumors using transcranial ultrasound is a promising approach. However, the complexity of cranial features introduces challenges, such as ultrasound attenuation and interference from multidirectional transcranial shear waves induced by impact vibrations. To address these issues, this study proposes a transcranial ultrasound estimation method assisted by transcranial shear vibrations. Transcranial vibrations apply shear forces on the parietal bone, inducing unidirectional transcranial shear waves within brain tissue, as validated through simulations. Shear waves at different frequencies were captured via transcranial ultrasound, which were used to assess the viscoelasticity and fluidity of brain tumors. Transcranial experimental validations were conducted in 3D-printed models with tumor phantoms and ex vivo animal tumors. Vibration safety assessments were also performed. The results demonstrate that transcranial ultrasound can detect micron displacements induced by transcranial shear waves. In phantom and ex vivo animal experiments, speed distribution maps were employed to determine the size and location of one or two tumors enclosed in the skull model. The results revealed that the proposed approach could detect tumors with a minimum diameter of 0.8 cm and an inter-tumor distance of 0.8 cm. Notably, significant differences in viscoelasticity and fluidity between normal brain tissue and brain tumors were found (p<0.001). The maximum assessment errors for the elasticity, viscosity, and fluidity using transcranial ultrasound were 11.90%, 4.82%, and 0.73%, respectively, indicating that fluidity was more robust than viscoelasticity. The maximum accelerations of the skull were only 3.21 ms-2 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Brain tumors | |
| 650 | 4 | |a Transcranial ultrasound | |
| 650 | 4 | |a Unidirectional shear waves | |
| 650 | 4 | |a Viscoelasticity and fluidity | |
| 700 | 1 | |a Guo, Hao |e verfasserin |4 aut | |
| 700 | 1 | |a Qiao, Xiaoyang |e verfasserin |4 aut | |
| 700 | 1 | |a Jiang, Liyuan |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Yiran |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Jiacheng |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Chaoyang |e verfasserin |4 aut | |
| 700 | 1 | |a Su, Xiao |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Hongmei |e verfasserin |4 aut | |
| 700 | 1 | |a Wan, Mingxi |e verfasserin |4 aut | |
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