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...

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Main Authors: Haoyu Wang, Luo Yan, Cheng Ma, Yiping Han
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Photoacoustics
Subjects:
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.
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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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