Yixuan Wu1, Haichong K Zhang1, Jeeun Kang2, Emad M Boctor3. 1. Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218, USA. 2. Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218, USA; Russell H, Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, MD 21218, USA. Electronic address: kangj@jhmi.edu. 3. Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218, USA; Russell H, Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, MD 21218, USA; Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA. Electronic address: eboctor1@jhmi.edu.
Abstract
We present a proof-of-concept of an automatic integration of photoacoustic (PA) imaging on clinical ultrasound (US) imaging platforms. Here we tackle two critical challenges: the laser synchronization and the inaccessibility to the beamformer core embedded in commercial US imaging platform. In particular, the line trigger frequency (LTF) estimation and the asynchronous synthetic aperture inverse beamforming (ASAIB) were developed and evaluated in both k-Wave simulation and phantom experiment. The proposed method is an economical solution to enable PA imaging on a greater number of US equipment to further thrive the PA imaging research community.
We present a proof-of-concept of an automatic integpan class="Species">ration of photoacoustic (PA) imaging on clinical ultrasound (US) imaging platforms. Here we tackle two critical challenges: the laser synchronization and the inaccessibility to the beamformer core embedded in commercial US imaging platform. In particular, the line trigger frequency (LTF) estimation and the asynchronous synthetic aperture inverse beamforming (span>n class="Chemical">ASAIB) were developed and evaluated in both k-Wave simulation and phantom experiment. The proposed method is an economical solution to enable PA imaging on a greater number of US equipment to further thrive the PA imaging research community.
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