Ultrasound-Guided Detection and Segmentation of Photoacoustic Signals from Bone Tissue In Vivo
Photoacoustic (PA) techniques provide optical absorption contrast and spatial information at an ultrasound resolution in deep biological tissues. Among the greatest challenges encountered in the PA examination of bone is the analysis of trabecular bone, which holds key chemical and physical informat...
| Main Authors: | , , , , , , |
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| Format: | Article |
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MDPI AG
2020-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/1/19 |
| _version_ | 1797543848384135168 |
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| author | Ting Feng Yunhao Zhu Chengcheng Liu Sidan Du Dean Ta Qian Cheng Jie Yuan |
| author_facet | Ting Feng Yunhao Zhu Chengcheng Liu Sidan Du Dean Ta Qian Cheng Jie Yuan |
| author_sort | Ting Feng |
| collection | DOAJ |
| description | Photoacoustic (PA) techniques provide optical absorption contrast and spatial information at an ultrasound resolution in deep biological tissues. Among the greatest challenges encountered in the PA examination of bone is the analysis of trabecular bone, which holds key chemical and physical information required for bone health assessments. Ultrasound detection is naturally registered with PA detection; therefore, in this study, we propose ultrasound guidance for the PA detection of trabecular bone. We perform both numerical simulations and an in vivo experiment on a human subject to investigate the possibility of ultrasound-guided detection and segmentation of photoacoustic signals from bone tissue in vivo in a non-invasive manner. The results obtained from the simulation and in vivo experiment suggest that the ultrasound-guided PA method can distinguish PA signals from trabecular and cortical bones as well as from the overlying soft tissue. Considering that the PA technique is non-ionizing and non-invasive, it holds potential for clinical bone health assessment. |
| first_indexed | 2024-03-10T13:51:30Z |
| format | Article |
| id | doaj.art-5f581daf494e4f3d91ac2bdf40c69f5b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T13:51:30Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5f581daf494e4f3d91ac2bdf40c69f5b2023-11-21T02:05:28ZengMDPI AGApplied Sciences2076-34172020-12-011111910.3390/app11010019Ultrasound-Guided Detection and Segmentation of Photoacoustic Signals from Bone Tissue In VivoTing Feng0Yunhao Zhu1Chengcheng Liu2Sidan Du3Dean Ta4Qian Cheng5Jie Yuan6School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210023, ChinaAcademy for Engineering and Technology, Fudan University, Shanghai 200433, ChinaSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210023, ChinaDepartment of Electronic Engineering, Fudan University, Shanghai 200433, ChinaInstitution of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai 200092, ChinaSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210023, ChinaPhotoacoustic (PA) techniques provide optical absorption contrast and spatial information at an ultrasound resolution in deep biological tissues. Among the greatest challenges encountered in the PA examination of bone is the analysis of trabecular bone, which holds key chemical and physical information required for bone health assessments. Ultrasound detection is naturally registered with PA detection; therefore, in this study, we propose ultrasound guidance for the PA detection of trabecular bone. We perform both numerical simulations and an in vivo experiment on a human subject to investigate the possibility of ultrasound-guided detection and segmentation of photoacoustic signals from bone tissue in vivo in a non-invasive manner. The results obtained from the simulation and in vivo experiment suggest that the ultrasound-guided PA method can distinguish PA signals from trabecular and cortical bones as well as from the overlying soft tissue. Considering that the PA technique is non-ionizing and non-invasive, it holds potential for clinical bone health assessment.https://www.mdpi.com/2076-3417/11/1/19photoacousticultrasoundsegmentationtrabecular bonebone assessment |
| spellingShingle | Ting Feng Yunhao Zhu Chengcheng Liu Sidan Du Dean Ta Qian Cheng Jie Yuan Ultrasound-Guided Detection and Segmentation of Photoacoustic Signals from Bone Tissue In Vivo Applied Sciences photoacoustic ultrasound segmentation trabecular bone bone assessment |
| title | Ultrasound-Guided Detection and Segmentation of Photoacoustic Signals from Bone Tissue In Vivo |
| title_full | Ultrasound-Guided Detection and Segmentation of Photoacoustic Signals from Bone Tissue In Vivo |
| title_fullStr | Ultrasound-Guided Detection and Segmentation of Photoacoustic Signals from Bone Tissue In Vivo |
| title_full_unstemmed | Ultrasound-Guided Detection and Segmentation of Photoacoustic Signals from Bone Tissue In Vivo |
| title_short | Ultrasound-Guided Detection and Segmentation of Photoacoustic Signals from Bone Tissue In Vivo |
| title_sort | ultrasound guided detection and segmentation of photoacoustic signals from bone tissue in vivo |
| topic | photoacoustic ultrasound segmentation trabecular bone bone assessment |
| url | https://www.mdpi.com/2076-3417/11/1/19 |
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