A Novel Dictionary-Based Image Reconstruction for Photoacoustic Computed Tomography

One of the major concerns in photoacoustic computed tomography (PACT) is obtaining a high-quality image using the minimum number of ultrasound transducers/view angles. This issue is of importance when a cost-effective PACT system is needed. On the other hand, analytical reconstruction algorithms suc...

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Bibliographic Details
Published in:Applied sciences 2018-09, Vol.8 (9), p.1570
Main Authors: Omidi, Parsa, Zafar, Mohsin, Mozaffarzadeh, Moein, Hariri, Ali, Haung, Xiangzhi, Orooji, Mahdi, Nasiriavanaki, Mohammadreza
Format: Article
Language:English
Subjects:
Acoustics
Algorithms
Biomedical engineering
Computed tomography
Dictionaries
Funding
image formation theory
Image processing
image quality assessment
image reconstruction techniques
Methods
NMR
Nuclear magnetic resonance
Optics
Optimization
photoacoustic imaging
Photonics
Pulse duration
Quality
Sharpening
Sparsity
Ultrasonic transducers
Wavelet transforms
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Summary:One of the major concerns in photoacoustic computed tomography (PACT) is obtaining a high-quality image using the minimum number of ultrasound transducers/view angles. This issue is of importance when a cost-effective PACT system is needed. On the other hand, analytical reconstruction algorithms such as back projection (BP) and time reversal, when a limited number of view angles is used, cause artifacts in the reconstructed image. Iterative algorithms provide a higher image quality, compared to BP, due to a model used for image reconstruction. The performance of the model can be further improved using the sparsity concept. In this paper, we propose using a novel sparse dictionary to capture important features of the photoacoustic signal and eliminate the artifacts while few transducers is used. Our dictionary is an optimum combination of Wavelet Transform (WT), Discrete Cosine Transform (DCT), and Total Variation (TV). We utilize two quality assessment metrics including peak signal-to-noise ratio and edge preservation index to quantitatively evaluate the reconstructed images. The results show that the proposed method can generate high-quality images having fewer artifacts and preserved edges, when fewer view angles are used for reconstruction in PACT.
ISSN:2076-3417
2076-3417
DOI:10.3390/app8091570