PIPELINE FOR CONTROL OF THE DYNAMICS OF LOCALIZED BRAIN PATHOLOGIES IN MAGNETIC RESONANCE IMAGES

A reliable assessment of changes in the dynamics of brain pathologies is primordial for accurate diagnostics, treatment and predicting the course of the disease. Magnetic resonance imaging (MRI) is the method of choice for it. In the paper, we explore the possibilities of semi-automatic control of the dynamics of localized brain pathologies in MRI. Using specific clinical examples, we investigated the sources of errors that accompany various methods for assessing the dynamics of the development of brain pathologies. We built a pipeline for semi-automatic control of the dynamics of these pathologies based on the Chan-Vese algorithm. The accuracy of estimating changes in the volume of pathological zones by proposed pipeline is comparable with the results obtained under idealized conditions of laboratory experiments. The proposed pipeline provides a significant gain in processing time and labor costs of radiologists is undemanding in computing resources and the availability of training datasets and can be easily implemented in real clinical practice.