2021
DOI: 10.3390/photonics8020025
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Image Deconvolution with Hybrid Reweighted Adaptive Total Variation (HRATV) for Optoacoustic Tomography

Abstract: Optoacoustic tomography (OAT) is a hybrid biomedical imaging modality that usually employs a transducer array to detect laser-generated ultrasonic signals. The reconstructed image suffers low contrast and degraded resolution due to the limited bandwidth and the spatial directivity of the transducer element. Here, we introduce a modified image deconvolution method with a hybrid reweighted adaptive total variation tailored to improve the image quality of OAT. The effectiveness and the parameter dependency of the… Show more

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Cited by 4 publications
(2 citation statements)
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“…Once we have the vector u j , we can use (26) to solve for the PAPS. We will improve the second step of the algorithm.…”
Section: Algorithmsmentioning
confidence: 99%
See 1 more Smart Citation
“…Once we have the vector u j , we can use (26) to solve for the PAPS. We will improve the second step of the algorithm.…”
Section: Algorithmsmentioning
confidence: 99%
“…These studies were conducted under the premise that TIR was known. However, when TIR is unknown, Chen Yang proposed a method combining hybrid weighted adaptive total variation to improve the image quality of PAT [26]. Nikita Rathi proposed the estimation of the impulse response of photoacoustic systems using homomorphic filtering based on discrete wavelet transform [27].…”
Section: Introductionmentioning
confidence: 99%