Flow distribution Imaging evaluation method for organ function assessment supported with a machine learning

Abstract

Machine learning is an effective tool to analyze large amount of data including medical images and clinical data. The application of machine learning to machine perfusion, a specialized preservation technique of organs for transplantation, is hoped to provide more successful outcome. Machine perfusion is a promising technology for not only preservation but also resuscitation and estimation of donor grafts, especially marginal grafts such as donors after cardiac death. The analysis of parameters obtained by perfusion will predict the graft performance and help doctors’ decision whether the organ befits transplantation or not. Organ assessment supported with machine learning may extend donor criteria and increase donor number eventually. Here, we introduce general feature of machine learning and discuss the potential of its application to flow distribution imaging evaluation for organ assessment with our results of ex vivo image analysis of liver.