Optical coherence tomography(OCT)is employed in the diagnosis of skin cancer.Particularly,quantitative image features extracted from OCT images might be used as indicators to classify the skin tumors.In the present pa...Optical coherence tomography(OCT)is employed in the diagnosis of skin cancer.Particularly,quantitative image features extracted from OCT images might be used as indicators to classify the skin tumors.In the present paper,we investigated intensity-based,texture-based and fractalbased features for automatically classifying the melanomas,basal cell carcinomas and pigment nevi.Generalized estimating equations were used to test for differences between the skin tumors.A modified p value of<0.001 was considered statistically significant.Significant increase of mean and median of intensity and significant decrease of mean and median of absolute gradient were observed in basal cell carcinomas and pigment nevi as compared with melanomas.Significant decrease of contrast,entropy and fractal dimension was also observed in basal cell carcinomas and pigment nevi as compared with melanomas.Our results suggest that the selected quantitative image features of OCT images could provide useful information to differentiate basal cell carcinomas and pigment nevi from the melanomas.Further research is warranted to determine how this approach may be used to improve the classification of skin tumors.展开更多
In this paper,the new method for OCT images denoizing based on empirical mode decomposition(EMD)is proposed.The noise reduction is a very important process for following operations to analyze and recognition of tissue...In this paper,the new method for OCT images denoizing based on empirical mode decomposition(EMD)is proposed.The noise reduction is a very important process for following operations to analyze and recognition of tissue structure.Our method does not require any additional operations and hardware modifications.The basics of proposed method is described.Quality improvement of noise suppression om example of edge detection procedure using the classical Canny's algorithm without any additional pre-and post-proc essing operations is demonstrated.Improvement of raw-segmentation in the automatic diagnostic process between a tissue and a mesh implant is shown.展开更多
Complex investigation of mesh implants was per formed involving laser confocal microscopy,backscattered probing and OCT imaging methods.The growth of endomysium and fat tissue with microcirculation vessels was observe...Complex investigation of mesh implants was per formed involving laser confocal microscopy,backscattered probing and OCT imaging methods.The growth of endomysium and fat tissue with microcirculation vessels was observed in the mesh encapsulation region.Confocal microscopy analysis shows that such pat hologies complications such as necrosis formation and microcavities were localized in the area near implant fibers with the size compatible with fiber diameter.And the number of such formnations increase with the increase of the size,number and density of microdefects on the implant surface.Results of mumerical sinulations show that it is possible to control implant installation up to the depth to 4mm with a help of bac kscattering probing.The applicability of OCT imaging for mesh implant control was demonstrated.Special two stage OCT image noise reduction algorithm,including empirical mode decomposition,was proposed for contrast increase and better abnormalities visualization by halving the signal-to-noise ratio.Joint usage of backscattered probing and OCT allows to accurately ascertain implant and surrounding tissue conditions,which reduces the risk of relapse probability.展开更多
文摘Optical coherence tomography(OCT)is employed in the diagnosis of skin cancer.Particularly,quantitative image features extracted from OCT images might be used as indicators to classify the skin tumors.In the present paper,we investigated intensity-based,texture-based and fractalbased features for automatically classifying the melanomas,basal cell carcinomas and pigment nevi.Generalized estimating equations were used to test for differences between the skin tumors.A modified p value of<0.001 was considered statistically significant.Significant increase of mean and median of intensity and significant decrease of mean and median of absolute gradient were observed in basal cell carcinomas and pigment nevi as compared with melanomas.Significant decrease of contrast,entropy and fractal dimension was also observed in basal cell carcinomas and pigment nevi as compared with melanomas.Our results suggest that the selected quantitative image features of OCT images could provide useful information to differentiate basal cell carcinomas and pigment nevi from the melanomas.Further research is warranted to determine how this approach may be used to improve the classification of skin tumors.
基金supported by the Federal Target Program“Research and development on priority directions of Russian scientific-technological complex for 2007-2013”.
文摘In this paper,the new method for OCT images denoizing based on empirical mode decomposition(EMD)is proposed.The noise reduction is a very important process for following operations to analyze and recognition of tissue structure.Our method does not require any additional operations and hardware modifications.The basics of proposed method is described.Quality improvement of noise suppression om example of edge detection procedure using the classical Canny's algorithm without any additional pre-and post-proc essing operations is demonstrated.Improvement of raw-segmentation in the automatic diagnostic process between a tissue and a mesh implant is shown.
基金supported by the Federal Target Program“Scientific and scientific-pedagogic staff of innovative Russia in 2007-2013”.
文摘Complex investigation of mesh implants was per formed involving laser confocal microscopy,backscattered probing and OCT imaging methods.The growth of endomysium and fat tissue with microcirculation vessels was observed in the mesh encapsulation region.Confocal microscopy analysis shows that such pat hologies complications such as necrosis formation and microcavities were localized in the area near implant fibers with the size compatible with fiber diameter.And the number of such formnations increase with the increase of the size,number and density of microdefects on the implant surface.Results of mumerical sinulations show that it is possible to control implant installation up to the depth to 4mm with a help of bac kscattering probing.The applicability of OCT imaging for mesh implant control was demonstrated.Special two stage OCT image noise reduction algorithm,including empirical mode decomposition,was proposed for contrast increase and better abnormalities visualization by halving the signal-to-noise ratio.Joint usage of backscattered probing and OCT allows to accurately ascertain implant and surrounding tissue conditions,which reduces the risk of relapse probability.
