Investigation of OCT Images Descriptions on the Base of Representational MDL Principle

Investigation of images representations in Optical Coherence Tomography (OCT) is carried out based on the objective quality criterion introduced with the use of the novel representational minimum description length principle. Several image segmentation algorithms are proposed that recover layered structure of the OCT images and can be used for morphological analysis of biological tissues in disease diagnostics. It is shown that the value of the quality criterion corresponds to adequacy of segmentation results, so it can be used for further investigation and improvement of OCT image analysis algorithms.