An extremum-guided interpolation for sparsely sampled photoacoustic imaging
In photoacoustic (PA) reconstruction, spatial constraints or real-time system requirements often result to sparse PA sampling data. For sparse PA sensor data, the sparse spatial and dense temporal sampling often leads to poor signal continuity. To address the structural characteristics of sparse PA...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Elsevier
2023-08-01
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Series: | Photoacoustics |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2213597923000885 |
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author | Haoyu Wang Luo Yan Cheng Ma Yiping Han |
author_facet | Haoyu Wang Luo Yan Cheng Ma Yiping Han |
author_sort | Haoyu Wang |
collection | DOAJ |
description | In photoacoustic (PA) reconstruction, spatial constraints or real-time system requirements often result to sparse PA sampling data. For sparse PA sensor data, the sparse spatial and dense temporal sampling often leads to poor signal continuity. To address the structural characteristics of sparse PA signals, a data interpolation algorithm based on extremum-guided interpolation is proposed. This algorithm is based on the continuity of the signal, and can complete the estimation of high sampling rate signals without complex mathematical calculations. PA signal data is interpolated and reconstructed, and the results are evaluated using image quality assessment methods. The simulation and experimental results show that the proposed method performs better than several typical algorithms, effectively restoring image details, suppressing the generation of artifacts and noise, and improving the quality of PA reconstruction under sparse sampling. |
first_indexed | 2024-03-12T11:53:07Z |
format | Article |
id | doaj.art-001c8a1b3e7a4df3a7c3c435d699eb9e |
institution | Directory Open Access Journal |
issn | 2213-5979 |
language | English |
last_indexed | 2024-03-12T11:53:07Z |
publishDate | 2023-08-01 |
publisher | Elsevier |
record_format | Article |
series | Photoacoustics |
spelling | doaj.art-001c8a1b3e7a4df3a7c3c435d699eb9e2023-08-31T05:02:45ZengElsevierPhotoacoustics2213-59792023-08-0132100535An extremum-guided interpolation for sparsely sampled photoacoustic imagingHaoyu Wang0Luo Yan1Cheng Ma2Yiping Han3Hangzhou Institute of Technology, XIDIAN University, Hangzhou 311231, Zhejiang, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaSchool of Physics, XIDIAN University, Xi’an 710126, Shaanxi, China; Corresponding author.In photoacoustic (PA) reconstruction, spatial constraints or real-time system requirements often result to sparse PA sampling data. For sparse PA sensor data, the sparse spatial and dense temporal sampling often leads to poor signal continuity. To address the structural characteristics of sparse PA signals, a data interpolation algorithm based on extremum-guided interpolation is proposed. This algorithm is based on the continuity of the signal, and can complete the estimation of high sampling rate signals without complex mathematical calculations. PA signal data is interpolated and reconstructed, and the results are evaluated using image quality assessment methods. The simulation and experimental results show that the proposed method performs better than several typical algorithms, effectively restoring image details, suppressing the generation of artifacts and noise, and improving the quality of PA reconstruction under sparse sampling.http://www.sciencedirect.com/science/article/pii/S2213597923000885Photoacoustic imagingSignal processingInterpolation algorithmImage reconstructionImage quality assessment |
spellingShingle | Haoyu Wang Luo Yan Cheng Ma Yiping Han An extremum-guided interpolation for sparsely sampled photoacoustic imaging Photoacoustics Photoacoustic imaging Signal processing Interpolation algorithm Image reconstruction Image quality assessment |
title | An extremum-guided interpolation for sparsely sampled photoacoustic imaging |
title_full | An extremum-guided interpolation for sparsely sampled photoacoustic imaging |
title_fullStr | An extremum-guided interpolation for sparsely sampled photoacoustic imaging |
title_full_unstemmed | An extremum-guided interpolation for sparsely sampled photoacoustic imaging |
title_short | An extremum-guided interpolation for sparsely sampled photoacoustic imaging |
title_sort | extremum guided interpolation for sparsely sampled photoacoustic imaging |
topic | Photoacoustic imaging Signal processing Interpolation algorithm Image reconstruction Image quality assessment |
url | http://www.sciencedirect.com/science/article/pii/S2213597923000885 |
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