Design of optoacoustic imaging system for deep penetration medical diagnostics
This is a final year project in the field of biomedical engineering on Design of Optoacoustic Imaging System for Deep Penetration Medical Diagnostics. This study has enabled me to delve deeper into the key components which make up the optoacoustic imaging system design, from a fundamental component,...
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2024
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sg-ntu-dr.10356-1772252024-05-31T15:43:59Z Design of optoacoustic imaging system for deep penetration medical diagnostics Yu Myat Noe Oo Zheng Yuanjin School of Electrical and Electronic Engineering YJZHENG@ntu.edu.sg Engineering Biomedical Imaging technologies Edge detection This is a final year project in the field of biomedical engineering on Design of Optoacoustic Imaging System for Deep Penetration Medical Diagnostics. This study has enabled me to delve deeper into the key components which make up the optoacoustic imaging system design, from a fundamental component, such as laser source to transducers are explored. This abstract examines the advancement in the acoustic detection method which are aimed at improving sensitivity and spatial resolution within many different biomedical applications. Takes the approach with image enhancing algorithms to enhance image quality and contrast in deep tissue imaging scenarios, which can improve the limitations and drawbacks of current technologies. In conclusion, this abstract aim to provide a comprehensive overview of the exploration through literature studies and technological innovations driving the development of optoacoustic imaging systems tailored for deep penetration medical diagnostics. The insights presented could be helpful and useful as a guide to future research endeavours. Bachelor's degree 2024-05-27T01:07:40Z 2024-05-27T01:07:40Z 2024 Final Year Project (FYP) Yu Myat Noe Oo (2024). Design of optoacoustic imaging system for deep penetration medical diagnostics. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177225 https://hdl.handle.net/10356/177225 en P2043-222 application/pdf Nanyang Technological University |
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Engineering Biomedical Imaging technologies Edge detection Yu Myat Noe Oo Design of optoacoustic imaging system for deep penetration medical diagnostics |
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This is a final year project in the field of biomedical engineering on Design of Optoacoustic Imaging System for Deep Penetration Medical Diagnostics. This study has enabled me to delve deeper into the key components which make up the optoacoustic imaging system design, from a fundamental component, such as laser source to transducers are explored. This abstract examines the advancement in the acoustic detection method which are aimed at improving sensitivity and spatial resolution within many different biomedical applications. Takes the approach with image enhancing algorithms to enhance image quality and contrast in deep tissue imaging scenarios, which can improve the limitations and drawbacks of current technologies. In conclusion, this abstract aim to provide a comprehensive overview of the exploration through literature studies and technological innovations driving the development of optoacoustic imaging systems tailored for deep penetration medical diagnostics. The insights presented could be helpful and useful as a guide to future research endeavours. |
author2 |
Zheng Yuanjin |
author_facet |
Zheng Yuanjin Yu Myat Noe Oo |
format |
Final Year Project |
author |
Yu Myat Noe Oo |
author_sort |
Yu Myat Noe Oo |
title |
Design of optoacoustic imaging system for deep penetration medical diagnostics |
title_short |
Design of optoacoustic imaging system for deep penetration medical diagnostics |
title_full |
Design of optoacoustic imaging system for deep penetration medical diagnostics |
title_fullStr |
Design of optoacoustic imaging system for deep penetration medical diagnostics |
title_full_unstemmed |
Design of optoacoustic imaging system for deep penetration medical diagnostics |
title_sort |
design of optoacoustic imaging system for deep penetration medical diagnostics |
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Nanyang Technological University |
publishDate |
2024 |
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https://hdl.handle.net/10356/177225 |
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1800916148510785536 |