Quantitative analysis for peripheral vascularity assessment based on clinical photoacoustic and ultrasound images

Dai Murakoshi; Kazuhiro Hirota; Hiroyasu Ishii; Atsushi Hashimoto; Tetsurou Ebata; Kaku Irisawa; Takatsugu Wada; Toshiro Hayakawa; Kenji Itoh; Miya Ishihara

doi:10.1117/12.2286835

19 February 2018 Quantitative analysis for peripheral vascularity assessment based on clinical photoacoustic and ultrasound images

Dai Murakoshi, Kazuhiro Hirota, Hiroyasu Ishii, Atsushi Hashimoto, Tetsurou Ebata, Kaku Irisawa, Takatsugu Wada, Toshiro Hayakawa, Kenji Itoh, Miya Ishihara

Author Affiliations +

Proceedings Volume 10494, Photons Plus Ultrasound: Imaging and Sensing 2018; 104945L (2018) https://doi.org/10.1117/12.2286835
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Photoacoustic (PA) imaging technology is expected to be applied to clinical assessment for peripheral vascularity. We started a clinical evaluation with the prototype PA imaging system we recently developed. Prototype PA imaging system was composed with in-house Q-switched Alexandrite laser system which emits short-pulsed laser with 750 nm wavelength, handheld ultrasound transducer where illumination optics were integrated and signal processing for PA image reconstruction implemented in the clinical ultrasound (US) system. For the purpose of quantitative assessment of PA images, an image analyzing function has been developed and applied to clinical PA images. In this analyzing function, vascularity derived from PA signal intensity ranged for prescribed threshold was defined as a numerical index of vessel fulfillment and calculated for the prescribed region of interest (ROI). Skin surface was automatically detected by utilizing B-mode image acquired simultaneously with PA image. Skinsurface position is utilized to place the ROI objectively while avoiding unwanted signals such as artifacts which were imposed due to melanin pigment in the epidermal layer which absorbs laser emission and generates strong PA signals. Multiple images were available to support the scanned image set for 3D viewing. PA images for several fingers of patients with systemic sclerosis (SSc) were quantitatively assessed. Since the artifact region is trimmed off in PA images, the visibility of vessels with rather low PA signal intensity on the 3D projection image was enhanced and the reliability of the quantitative analysis was improved.

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Dai Murakoshi, Kazuhiro Hirota, Hiroyasu Ishii, Atsushi Hashimoto, Tetsurou Ebata, Kaku Irisawa, Takatsugu Wada, Toshiro Hayakawa, Kenji Itoh, and Miya Ishihara "Quantitative analysis for peripheral vascularity assessment based on clinical photoacoustic and ultrasound images", Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104945L (19 February 2018); https://doi.org/10.1117/12.2286835

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KEYWORDS

Skin

Imaging systems

Image analysis

Nerve

Prototyping

Tissues

Ultrasonography

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