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Proceedings Paper

Application of mathematical morphological filter for noise reduction in photoacoustic imaging
Author(s): Tingyang Duan; Yuqi Tang; Fei Gao; Junjie Yao
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Paper 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.

Paper Details

Date Published: 27 February 2019
PDF: 6 pages
Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 1087854 (27 February 2019); doi: 10.1117/12.2512176
Show Author Affiliations
Tingyang Duan, ShanghaiTech Univ. (China)
Shanghai Institute of Microsystem and Information Technology (China)
Univ. of Chinese Academy of Sciences (China)
Yuqi Tang, Duke Univ. (United States)
Fei Gao, ShanghaiTech Univ. (China)
Junjie Yao, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 10878:
Photons Plus Ultrasound: Imaging and Sensing 2019
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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