Poster
27 March 2023 Visualisation of medical needles using photoacoustic imaging with candle soot composites coatings and deep learning
Author Affiliations +
Conference Poster
Abstract
Ultrasound (US) imaging is commonly used to guide minimally invasive surgeries but has poor contrast of the invasive devices such as clinical needles. Photoacoustic (PA) imaging promises to be efficient for visualising needles. Elastomeric coatings can also be applied on the needle surface to improve its visibility, however, strong signals generated from the highly absorbing coatings sometimes introduce image artefacts which affect needle identification. In this work, we developed a deep learning-based method to enhance the needle visualisation by removing the artefacts. We anticipated that the proposed methods could be useful for guiding percutaneous needle insertions.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mengjie Shi, Semyon Bodian, Simeon J. West, Sanjayan Sathasivam, Ross J. Gordon, Paul Collier, Tom Vercauteren, Adrien E. Desjardins, Sacha Noimark, and Wenfeng Xia "Visualisation of medical needles using photoacoustic imaging with candle soot composites coatings and deep learning", Proc. SPIE PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023, PC123792M (27 March 2023); https://doi.org/10.1117/12.2648775
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KEYWORDS
Visualization

Composites

Photoacoustic imaging

Light emitting diodes

Visibility

In vivo imaging

Optical fibers

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