Work

Image improvement in linear-array photoacoustic imaging using high resolution coherence factor weighting technique

Year: 2019

Type: article

Abstract: BACKGROUND: In Photoacoustic imaging (PAI), the most prevalent beamforming algorithm is delay-and-sum (DAS) due to its simple implementation. However, it results in a low quality image affected by the high level of sidelobes. Coherence factor (CF) can be used to address the sidelobes in the reconstructed images by DAS, but the resolution improvement is not good enough, compared to the high resolution beamformers such as minimum variance (MV). In this paper, it is proposed to use high-resolution-CF (HRCF) weighting technique in which MV is used instead of the existing DAS in the formula of the conventional CF. RESULTS: , in comparison with DAS+CF and MV+CF, HRCF improves the full-width-half-maximum of about 91% and 15% and the signal-to-noise ratio about 40% and 14%, respectively. CONCLUSION: Proposed method provides a high resolution along with a low level of sidelobes for PAI.

Source: BMC Biomedical Engineering

DOI: 10.1186/s42490-019-0009-9

Authors: Moein Mozaffarzadeh, Bahador Makkiabadi, Maryam Basij, Mohammad Mehrmohammadi

Institutions: Delft University of Technology, Tehran University of Medical Sciences, Wayne State University

Language: English

Topic: Photoacoustic and Ultrasonic Imaging

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,475

Funder: Tehran University of Medical Sciences and Health Services