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Generalized spatial coherence reconstruction for photoacoustic computed tomography.
- Source :
- Journal of Biomedical Optics; Apr2021, Vol. 26 Issue 4, p46002-46002, 1p
- Publication Year :
- 2021
-
Abstract
- Significance: Coherence, a fundamental property of waves and fields, plays a key role in photoacoustic image reconstruction. Previously, techniques such as short-lag spatial coherence (SLSC) and filtered delay, multiply, and sum (FDMAS) have utilized spatial coherence to improve the reconstructed resolution and contrast with respect to delay-and-sum (DAS). While SLSC uses spatial coherence directly as the imaging contrast, FDMAS employs spatial coherence implicitly. Despite being more robust against noise, both techniques have their own drawbacks: SLSC does not preserve a relative signal magnitude, and FDMAS shows a reduced contrast-to-noise ratio. Aim: To overcome these limitations, our aim is to develop a beamforming algorithm—generalized spatial coherence (GSC)—that unifies SLSC and FDMAS into a single equation and outperforms both beamformers. Approach: We demonstrated the application of GSC in photoacoustic computed tomography (PACT) through simulation and experiments and compared it to previous beamformers: DAS, FDMAS, and SLSC. Results: GSC outperforms the imaging metrics of previous state-of-the-art coherence-based beamformers in both simulation and experiments. Conclusions: GSC is an innovative reconstruction algorithm for PACT, which combines the strengths of FDMAS and SLSC expanding PACT's applications. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10833668
- Volume :
- 26
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of Biomedical Optics
- Publication Type :
- Academic Journal
- Accession number :
- 150091422
- Full Text :
- https://doi.org/10.1117/1.JBO.26.4.046002