Artificial intelligence processing for enhancing an intelligent sensor - II
This final year project focused on the objective of finding an Artificial Intelligence algorithm for reconstructing photoacoustic images. The theory behind the algorithms used, their implementation and results were discussed. First, the significance of this project was explained through the need...
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sg-ntu-dr.10356-1670492023-07-07T15:45:13Z Artificial intelligence processing for enhancing an intelligent sensor - II Potipireddi Sai Pratyusha Zheng Yuanjin School of Electrical and Electronic Engineering YJZHENG@ntu.edu.sg Engineering::Electrical and electronic engineering This final year project focused on the objective of finding an Artificial Intelligence algorithm for reconstructing photoacoustic images. The theory behind the algorithms used, their implementation and results were discussed. First, the significance of this project was explained through the need for a non-invasive blood pressure measurement technique such as Photoacoustic Imaging. The working principle of a Photoacoustic Microscopy System was explained along with the conversion of the signals to images. The enhancement of the image details using convolutional neural networks like U-Net and Generative Adversarial Network was introduced. The network architectures and the advantages were highlighted. The two networks were constructed, and an input dataset of 1000 preprocessed photoacoustic images was used. The models built were evaluated based on the test dataset using metrics such as Peak signal-to-noise ratio and Structural Similarity Index Measure. The output of the models that are the reconstructed images are also compared. The best reconstruction algorithm was proposed based on the results obtained. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-21T09:56:08Z 2023-05-21T09:56:08Z 2023 Final Year Project (FYP) Potipireddi Sai Pratyusha (2023). Artificial intelligence processing for enhancing an intelligent sensor - II. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167049 https://hdl.handle.net/10356/167049 en A2281-221 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Potipireddi Sai Pratyusha Artificial intelligence processing for enhancing an intelligent sensor - II |
description |
This final year project focused on the objective of finding an Artificial Intelligence
algorithm for reconstructing photoacoustic images. The theory behind the algorithms
used, their implementation and results were discussed.
First, the significance of this project was explained through the need for a
non-invasive blood pressure measurement technique such as Photoacoustic Imaging.
The working principle of a Photoacoustic Microscopy System was explained along
with the conversion of the signals to images.
The enhancement of the image details using convolutional neural networks like
U-Net and Generative Adversarial Network was introduced. The network
architectures and the advantages were highlighted.
The two networks were constructed, and an input dataset of 1000 preprocessed
photoacoustic images was used. The models built were evaluated based on the test
dataset using metrics such as Peak signal-to-noise ratio and Structural Similarity
Index Measure. The output of the models that are the reconstructed images are also
compared. The best reconstruction algorithm was proposed based on the results
obtained. |
author2 |
Zheng Yuanjin |
author_facet |
Zheng Yuanjin Potipireddi Sai Pratyusha |
format |
Final Year Project |
author |
Potipireddi Sai Pratyusha |
author_sort |
Potipireddi Sai Pratyusha |
title |
Artificial intelligence processing for enhancing an intelligent sensor - II |
title_short |
Artificial intelligence processing for enhancing an intelligent sensor - II |
title_full |
Artificial intelligence processing for enhancing an intelligent sensor - II |
title_fullStr |
Artificial intelligence processing for enhancing an intelligent sensor - II |
title_full_unstemmed |
Artificial intelligence processing for enhancing an intelligent sensor - II |
title_sort |
artificial intelligence processing for enhancing an intelligent sensor - ii |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/167049 |
_version_ |
1772825653217853440 |