Paper
3 March 2017 In vivo photoacoustic imaging of uterine cervical lesion and its image processing based on light propagation in biological medium
Shinpei Okawa, Kiguna Sei M.D., Takeshi Hirasawa, Kaku Irisawa, Kazuhiro Hirota, Takatsugu Wada, Toshihiro Kushibiki, Kenichi Furuya M.D., Miya Ishihara
Author Affiliations +
Abstract
For diagnosis of cervical cancer, screening by colposcope and successive biopsy are usually carried out. Colposcope, which is a mesoscope, is used to examine surface of the cervix and to find precancerous lesion grossly. However, the accuracy of colposcopy depends on the skills of the examiner and is inconsistent as a result. Additionally, colposcope lacks depth information. It is known that microvessel density and blood flow in cervical lesion increases associated with angiogenesis. Therefore, photoacoustic imaging (PAI) to detect angiogenesis in cervical lesion has been studied. PAI can diagnose cervical lesion sensitively and provide depth information. The authors have been investigating the efficacy of PAI in the diagnoses of the cervical lesion and cancer by use of the PAI and ultrasonography system with transvaginal probe developed by Fujifilm Corporation. For quantitative diagnosis by use of PAI, it is required to take the light propagation in biological medium into account. The image reconstruction of the absorption coefficient from the PA image of cervix by use of the simulation of light propagation based on finite element method has been tried in this study. Numerical simulation, phantom experiment and in vivo imaging were carried out.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shinpei Okawa, Kiguna Sei M.D., Takeshi Hirasawa, Kaku Irisawa, Kazuhiro Hirota, Takatsugu Wada, Toshihiro Kushibiki, Kenichi Furuya M.D., and Miya Ishihara "In vivo photoacoustic imaging of uterine cervical lesion and its image processing based on light propagation in biological medium", Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100642S (3 March 2017); https://doi.org/10.1117/12.2253716
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Cited by 5 scholarly publications.
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KEYWORDS
Image processing

Absorption

Cervical cancer

Finite element methods

Numerical simulations

Image restoration

Cervix

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