Quantificação de fluxo ótico em sequência temporal de imagens

Abstract

The efficient analysis and quantification of physiological parameters from medical imaging contribute to the development of computational models, which may be useful for improving the diagnosis and surgical planning of various diseases in complex physiological systems, such as the cardiovascular system and evolution analysis of breast tumors. One of the techniques related to automatic quantification of physiological parameters is known as Optical Flow. Optical flow is the distribution of the movement velocities of brightness patterns in a temporal sequence of images, and its obtainment is necessary, for example, in the characterization of the heart kinetics, and the mechanical properties of coronary artery wall tissues, among others. This work aims to research, develop and implement optical flow methods that take into account a multiscale approach to capture large displacement of pixels between two consecutive images. The numerical results obtained with the implemented methods demonstrate agreement with reference solutions.