Adaptive enhancement of acoustic resolution photoacoustic microscopy imaging via deep CNN prior
Date
2023-04-07
Authors
Zhang, Zhengyuan
Jin, Haoran
Zhang, Wenwen
Lu, Wenhao
Zheng, Zesheng
Sharma, Arunima
Zheng, Yuanjin
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Elsevier GmbH
Abstract
Acoustic resolution photoacoustic microscopy (AR-PAM) is a promising medical imaging modality that can be employed for deep bio-tissue imaging. However, its relatively low imaging resolution has greatly hindered its wide applications. Previous model-based or learning-based PAM enhancement algorithms either require design of complex handcrafted prior to achieve good performance or lack the interpretability and flexibility that can adapt to different degradation models. However, the degradation model of AR-PAM imaging is subject to both imaging depth and center frequency of ultrasound transducer, which varies in different imaging conditions and cannot be handled by a single neural network model. To address this limitation, an algorithm integrating both learning-based and model-based method is proposed here so that a single framework can deal with various distortion functions adaptively. The vasculature image statistics is implicitly learned by a deep convolutional neural network, which served as plug and play (PnP) prior. The trained network can be directly plugged into the model-based optimization framework for iterative AR-PAM image enhancement, which fitted for different degradation mechanisms. Based on physical model, the point spread function (PSF) kernels for various AR-PAM imaging situations are derived and used for the enhancement of simulation and in vivo AR-PAM images, which collectively proved the effectiveness of proposed method. Quantitatively, the PSNR and SSIM values have all achieve best performance with the proposed algorithm in all three simulation scenarios; The SNR and CNR values have also significantly raised from 6.34 and 5.79 to 35.37 and 29.66 respectively in an in vivo testing result with the proposed algorithm.
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Comments
This article is published as Zhang, Zhengyuan, Haoran Jin, Wenwen Zhang, Wenhao Lu, Zesheng Zheng, Arunima Sharma, Manojit Pramanik, and Yuanjin Zheng. "Adaptive enhancement of acoustic resolution photoacoustic microscopy imaging via deep CNN prior." Photoacoustics 30 (2023): 100484. doi: https://doi.org/10.1016/j.pacs.2023.100484. © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).