Paper
17 February 2020 Evaluation of inflammatory degree using model rats by multi-wavelength photoacoustic imaging system
Kohei Ogawa, Takeshi Namita, Kengo Kondo, Makoto Yamakawa, Tsuyoshi Shiina
Author Affiliations +
Abstract
Arthritis, which is associated with local articular rigidity, swelling and pain as well as systemic development of fever and a sense of fatigue, is a disorder leading quickly to deterioration of quality of life. Approximately 300,000 rheumatoid arthritis patients reside in Japan alone1: 1% of the world’s population has the disorder worldwide. Although X-ray CT, MRI, and ultrasonic Doppler method are used for examination and diagnosis, various difficulties persist such as radiation exposure, administration of contrast agents, and difficulty in earlier diagnosis and quantitative evaluation. To resolve these difficulties, we developed a handheld photoacoustic imaging system. This study investigated the feasibility of evaluating the degree of inflammation using photoacoustic imaging with multiple wavelengths using in vivo measurements of model rats. Changes in signal intensity depending on the presence or absence of the disorder were examined. Results confirmed that the signal intensity can be intensified at diseased joints. Then, the changes with different time elapsed from drug administration were examined using rats. Results clarified that the degree of inflammation can be evaluated by photoacoustic spectral shapes, which change along with the progress of the inflammation. These analyses verified the usefulness of photoacoustic imaging for diagnosing and evaluating arthritis.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kohei Ogawa, Takeshi Namita, Kengo Kondo, Makoto Yamakawa, and Tsuyoshi Shiina "Evaluation of inflammatory degree using model rats by multi-wavelength photoacoustic imaging system", Proc. SPIE 11240, Photons Plus Ultrasound: Imaging and Sensing 2020, 112404Z (17 February 2020); https://doi.org/10.1117/12.2544966
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KEYWORDS
Photoacoustic spectroscopy

Photoacoustic imaging

Arthritis

Inflammation

Imaging systems

Ultrasonics

Visualization

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