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Название |
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Ссылка на источник |
Nanoparticle-enabled experimentally trained wavelet-domain denoising method for optical coherence tomography
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01.09.2018 |
Dolganova I.
Chernomyrdin N.
Aleksandrova P.
Beshplav S.
Potapov A.
Reshetov I.
Kurlov V.
Tuchin V.
Zaytsev K.
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Journal of Biomedical Optics |
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7 |
Ссылка
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE). We present the nanoparticle-enabled experimentally trained wavelet-domain denoising method for optical coherence tomography (OCT). It employs an experimental training algorithm based on imaging of a test-object, made of the colloidal suspension of the monodisperse nanoparticles and contains the microscale inclusions. The geometry and the scattering properties of the test-object are known a priori allowing us to set the criteria for the training algorithm. Using a wide set of the wavelet kernels and the wavelet-domain filtration approaches, the appropriate filter is constructed based on the test-object imaging. We apply the proposed approach and chose an efficient wavelet denoising procedure by considering the combinations of the decomposition basis from five wavelet families with eight types of the filtration threshold. We demonstrate applicability of the wavelet-filtering for the in vitro OCT image of human brain meningioma. The observed results prove high efficiency of the proposed OCT image denoising technique.
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Wavelet-domain denoising of OCT images of human brain malignant tissues
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13.08.2018 |
Dolganova I.
Aleksandrova P.
Beshplav S.
Reshetov I.
Potapov A.
Zaytsev K.
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Proceedings - International Conference Laser Optics 2018, ICLO 2018 |
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0 |
Ссылка
© 2018 IEEE. We demonstrate a wavelet-domain denoising technique for imaging of human brain malignant tissues by optical coherence tomography. It allows for reducing the scattering noise and retaining signal artifacts for each tissue type, including malignant glioma and meningioma.
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Wavelet-domain de-noising of OCT images of human brain malignant glioma
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01.01.2018 |
Dolganova I.
Aleksandrova P.
Beshplav S.
Chernomyrdin N.
Dubyanskaya E.
Goryaynov S.
Kurlov V.
Reshetov I.
Potapov A.
Tuchin V.
Zaytsev K.
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Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
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7 |
Ссылка
© 2018 SPIE. We have proposed a wavelet-domain de-noising technique for imaging of human brain malignant glioma by optical coherence tomography (OCT). It implies OCT image decomposition using the direct fast wavelet transform, thresholding of the obtained wavelet spectrum and further inverse fast wavelet transform for image reconstruction. By selecting both wavelet basis and thresholding procedure, we have found an optimal wavelet filter, which application improves differentiation of the considered brain tissue classes-i.e. malignant glioma and normal/intact tissue. Namely, it allows reducing the scattering noise in the OCT images and retaining signal decrement for each tissue class. Therefore, the observed results reveals the wavelet-domain de-noising as a prospective tool for improved characterization of biological tissue using the OCT.
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