Application of mathematical morphological filter for noise reduction in photoacoustic imaging

Tingyang Duan; Yuqi Tang; Fei Gao; Junjie Yao

doi:10.1117/12.2512176

27 February 2019 Application of mathematical morphological filter for noise reduction in photoacoustic imaging

Tingyang Duan, Yuqi Tang, Fei Gao, Junjie Yao

Proceedings Volume 10878, Photons Plus Ultrasound: Imaging and Sensing 2019; 1087854 (2019) https://doi.org/10.1117/12.2512176
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Photoacoustic imaging (PAI) is a promising imaging technique in preclinical study, which combines both merits of optical and ultrasound imaging. However, PA image quality is seriously suffered from various noises such as random white noise, intrinsic noise of devices and background noise from imaging environment, especially in in-vivo experiments. Regular linear filters like mean filters no longer provide a satisfactory performance. A boosted filter is necessary to degrade the noise level and enhance PA image contrast. In this paper, we applied a nonlinear de-noising filter based on mathematical morphology, which can help smooth the target boundary and well suppress impulse noise in PA images. Phantom and in-vivo experiments in this paper will show the feasibility and performance as a newly-used filter in PA image processing.

Citation Download Citation

Tingyang Duan, Yuqi Tang, Fei Gao, and Junjie Yao "Application of mathematical morphological filter for noise reduction in photoacoustic imaging", Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 1087854 (27 February 2019); https://doi.org/10.1117/12.2512176

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