Wavelet-domain de-noising of optical coherent tomography data for biomedical applications

International Scientific Seminars on "Fundamental and Applied Problems of Photonics and Condensed Matter Physics"

Zaytsev, Kirill I.^1 ; Kudrin, Konstantin G.^2 ; Chernomyrdin, Nikita V.^1 ; Khorokhorov, Alexey M.^1 ; Prytov, Alexander B.^1 ; Dolganova, Irina N.^1 ; Perchik, Alexey V.^1 ; Reshetov, Igor V.^3 ; Yurchenko, Stanislav O.^1

Bauman Moscow State Technical University, 2nd Baumanskaya str. 5, Moscow

105005, Russia^1

P.A.Hertzen Moscow Research Institute of Oncology, 2nd Botkinskiy proezd 3, Moscow

125284, Russia^2

Institute of Improvement of Professional Skill of the Federal Medico-Biological Agency of Russia, Volokolamskoye shosse 91, Moscow

125371, Russia^3

关键词: Applied physics;    Applied research;    Biomedical applications;    De-noising;    Optical coherent tomography;    Sample structure;    Test samples;    Wavelet domain;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/584/1/012013/pdf
DOI  :  10.1088/1742-6596/584/1/012013

来源: IOP

【 摘 要 】

Optical coherent tomography (OCT) is a rapidly developing method of fundamental and applied research. Detection and processing of OCT images is a very important problem of applied physics and optical signal processing. In the present paper we are demonstrating the ability for effective wavelet-domain de-noising of OCT images. We are realizing an algorithm for wavelet-domain de-noising of OCT data and implementing it for the purpose of studying test samples and for in vivo nail tomography. High de-noising efficiency with no significant losses of information about the internal sample structure is observed.