The paper presents the results of an in-vivo study of lymphedema tissue by optical coherent elastography in small animals. A lower limb lymphedema model in Wistar rats by lymph node resection was created. This article describes the application of the method of optical coherent elastography as a tool for in-vivo study of a model of lower limb lymphedema in small laboratory animals. Studies have shown that with the development of lymphedema, elastic properties change significantly.
A model of lymphedema in laboratory animals was realized and analyzed with multiphoton microscopy (MPM). Computer vision methods were used to describe the textures of lymphedema tissue MPM images, then informative features of the fibrosis development were extracted. Besides, the ratios of the autofluorescence lifetime to the second harmonic signal were estimated.
Methods of two-photon microscopy are widely used in the study of biological objects, in particular, skin, due to the possibility to study objects both on the surface and at depth without attracting additional fluorophores due to endogenous autofluorescence. In this paper, the methods of image analysis of the AF signal and SHG signal are applied to assess the condition of the skin during the development of lymphedema. It is shown that for groups of healthy tissue and lymphedematous using SAAID distribution histograms, changes in tissues can be detected.
A model of lymphedema was developed using laboratory animals. During lymphatic edema enhancement, a study was made of changes in the structure of biological tissues by interference optical methods in the near infrared region of the spectrum. Statistical methods were applied for describing textures of the experimental images of the affected tissues, informative features of the dynamics of fibrosis development were identified.
Last years the development of computer-aided diagnostic systems for medical image analysis has become a hot topic. A key step is connected with informative features extraction. Here, we discussed multiphoton microscopy and optical coherent tomography lymphedema tissue images analysis using gradient processing methods.