Automated Vessel Segmentation for 2D Phase Contrast MR Using Deep Learning

Representative example of vessel contouring performed by manual and DL segmentation in MPA and AO

Abstract

Phase-contrast (PC) MRI is used to evaluate blood hemodynamics; however, it can be time consuming to process PC-MR data. In this work, we developed a fully automated segmentation algorithm for PC MR images using deep learning (DL). Automated segmentation of aorta and main pulmonary artery from PC MRI scans can be successfully achieved using the DL model

Publication
International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition
Maria Monzon
Maria Monzon
Computer Vision and AI researcher

My research interests include Computer Vision, Biomedical Image Analysis, Trustworhty Deep Learning and Machine Learning for healthcare.