Multiview Hilbert transformation in full-ring transducer array-based photoacoustic computed tomography

Lei Li; Liren Zhu; Yuecheng Shen; Lihong V. Wang

doi:10.1117/1.JBO.22.7.076017

26 July 2017 Multiview Hilbert transformation in full-ring transducer array-based photoacoustic computed tomography

Lei Li, Liren Zhu, Yuecheng Shen, Lihong V. Wang

Author Affiliations +

Journal of Biomedical Optics, Vol. 22, Issue 7, 076017 (July 2017). https://doi.org/10.1117/1.JBO.22.7.076017

Abstract

Based on the photoacoustic (PA) effect, PA tomography directly measures specific optical absorption, i.e., absorbed optical energy per unit volume. We recently developed a full-ring ultrasonic transducer array-based photoacoustic computed tomography (PACT) system for small-animal whole-body imaging. The system has a full-view detection angle and high in-plane resolution (∼100 μm). However, due to the bandpass frequency response of the piezoelectric transducer elements and the limited elevational detection coverage of the full-ring transducer array, the reconstructed images present bipolar (i.e., both positive and negative) pixel values, which cause ambiguities in image interpretation for physicians and biologists. We propose a multiview Hilbert transformation method to recover the unipolar initial pressure for full-ring PACT. The effectiveness of the proposed algorithm was first validated by numerical simulations and then demonstrated with ex vivo mouse brain structural imaging and in vivo mouse whole-body imaging.

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Lei Li, Liren Zhu, Yuecheng Shen, and Lihong V. Wang "Multiview Hilbert transformation in full-ring transducer array-based photoacoustic computed tomography," Journal of Biomedical Optics 22(7), 076017 (26 July 2017). https://doi.org/10.1117/1.JBO.22.7.076017

Received: 13 March 2017; Accepted: 12 July 2017; Published: 26 July 2017

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