Mr. Satoshi Sugiyama Profile

Satoshi Sugiyama

at Tomey Corp

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Publications (6)

Proceedings Article | 19 February 2020 Presentation + Paper

Retinal pigment epithelium-melanin specific contrast imaging by multi-contrast OCT

Masahiro Miura, Shuichi Makita, Shinnosuke Azuma, Yoshiaki Yasuno, Toshihiro Mino, Tatsuo Yamaguchi, Satoshi Sugiyama, Takuya Iwasaki

Proc. SPIE. 11218, Ophthalmic Technologies XXX

KEYWORDS: Near infrared, Polarization, Tissues, Optical coherence tomography, Image segmentation, Retina, Light scattering, Reflectivity, Angiography, 3D image processing

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Proceedings Article | 22 February 2019 Paper

Optic axis determination in SU(2) Jones formalism

Masahiro Yamanari, Kenji Horikoshi, Nobuyori Aoki, Daisuke Suzuki, Kota Totani, Tomoki Hori, Susumu Oshima, Franck Jaillon, Satoshi Sugiyama

Proc. SPIE. 10867, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII

KEYWORDS: Eye, Polarization, Birefringence, Tissues, Interferometers, Optical coherence tomography, Retina, Polarimetry, Sclera, Tissue optics

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Proceedings Article | 8 February 2017 Paper

Evaluation of intraretinal migration of retinal pigment epithelial cells with Jones matrix optical coherence tomography

M. Miura, S. Makita, S. Sugiyama, Y. J. Hong, Y. Yasuno, A. E. Elsner, T. Iwasaki, H. Goto

Proc. SPIE. 10045, Ophthalmic Technologies XXVII

KEYWORDS: Ophthalmology, Multimodal imaging, Atrial fibrillation, Computational imaging, Polarization, Sensors, Optical coherence tomography, Retina, Polarimetry, Standards development

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Proceedings Article | 8 March 2016 Paper

Accurate and quantitative polarization-sensitive OCT by unbiased birefringence estimator with noise-stochastic correction

Deepa Kasaragod, Satoshi Sugiyama, Yasushi Ikuno, David Alonso-Caneiro, Masahiro Yamanari, Shinichi Fukuda, Tetsuro Oshika, Young-Joo Hong, En Li, Shuichi Makita, Masahiro Miura, Yoshiaki Yasuno

Proc. SPIE. 9697, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XX

KEYWORDS: Mathematical modeling, Signal to noise ratio, Eye, Ophthalmology, Polarization, Birefringence, Tissues, Optical coherence tomography, Skin, Error analysis, Ions, Numerical simulations, Monte Carlo methods, Neodymium, Optical calibration, Stochastic processes

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Polarization sensitive optical coherence tomography (PS-OCT) is a functional extension of OCT that contrasts the polarization properties of tissues. It has been applied to ophthalmology, cardiology, etc. Proper quantitative imaging is required for a widespread clinical utility. However, the conventional method of averaging to improve the signal to noise ratio (SNR) and the contrast of the phase retardation (or birefringence) images introduce a noise bias offset from the true value. This bias reduces the effectiveness of birefringence contrast for a quantitative study. Although coherent averaging of Jones matrix tomography has been widely utilized and has improved the image quality, the fundamental limitation of nonlinear dependency of phase retardation and birefringence to the SNR was not overcome. So the birefringence obtained by PS-OCT was still not accurate for a quantitative imaging.

The nonlinear effect of SNR to phase retardation and birefringence measurement was previously formulated in detail for a Jones matrix OCT (JM-OCT) [1]. Based on this, we had developed a maximum a-posteriori (MAP) estimator and quantitative birefringence imaging was demonstrated [2]. However, this first version of estimator had a theoretical shortcoming. It did not take into account the stochastic nature of SNR of OCT signal.

In this paper, we present an improved version of the MAP estimator which takes into account the stochastic property of SNR. This estimator uses a probability distribution function (PDF) of true local retardation, which is proportional to birefringence, under a specific set of measurements of the birefringence and SNR. The PDF was pre-computed by a Monte-Carlo (MC) simulation based on the mathematical model of JM-OCT before the measurement. A comparison between this new MAP estimator, our previous MAP estimator [2], and the standard mean estimator is presented. The comparisons are performed both by numerical simulation and in vivo measurements of anterior and posterior eye segment as well as in skin imaging. The new estimator shows superior performance and also shows clearer image contrast.

Proceedings Article | 4 March 2016 Presentation + Paper

Quantitative polarization and flow evaluation of choroid and sclera by multifunctional Jones matrix optical coherence tomography

S. Sugiyama, Y.-J. Hong, D. Kasaragod, S. Makita, M. Miura, Y. Ikuno, Y. Yasuno

Proc. SPIE. 9693, Ophthalmic Technologies XXVI

KEYWORDS: Image visualization, Eye, Polarization, Birefringence, Optical properties, Tissues, Scattering, Optical coherence tomography, Image segmentation, Diagnostics, Sclera, Tissue optics

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