Mr. Yash Ajay Garje Profile

Yash Ajay Garje

at Worcester Polytechnic Institute

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Proceedings Article | 9 March 2023 Presentation + Paper

Multiview compounding for linear array-based 3D photoacoustic imaging

Yash Garje, Yichuan Tang, Enxhi Jaupi, Haichong Zhang

Proceedings Volume 12379, 123790B (2023) https://doi.org/10.1117/12.2650782

KEYWORDS: Calibration, 3D image processing, Photoacoustic spectroscopy, Photoacoustic imaging, Fiber lasers, 3D acquisition, Visualization, Ultrasonography, Data processing, Data acquisition

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Two-dimensional and three-dimensional photoacoustic (PA) visualization is an emerging diagnostic procedure for investigation and research in vascular studies. Current manual/mechanized target scanning techniques involve sweeping the target along the elevation to generate 3D visuals. However, since the linear array probes exhibit poor resolution along the direction orthogonal to its focal plane, these techniques are prone to miss out on the organic structures parallel to the lateral direction. This could result in a misrepresentation of the target and is a critical shortfall of the method. We propose a multiview scanning and compounding technique to overcome the directionality bias and obtain more accurate and isotropic imaging performance. Using electromechanical translatory and rotary stages for multiview data acquisition, we generate a unified 3D visualization. A data processing pipeline illustrates an axial implementation of the Hilbert transform followed by spatial integration of the volumetric data to obtain the output. A 6-directional scanning approach improves the completeness of the structural details. We validated the technique using sub-millimeter-sized balls and wire phantoms. We first observed an enhanced resemblance of the outcome with the actual target in the ball phantom. Secondly, we observed imaging quality improvement with isotropic intensity distribution prominently in the wire phantom. A comparative analysis showed around a 50% reduction in the standard deviation of intensity distribution as compared to conventional unidirectional 3D PA imaging.

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