Automated Vessel Segmentation for 2D Phase Contrast MR Using Deep Learning
Ning Jin,
Maria Monzon,
Teodora Chitiboi,
Aaron Pruitt,
Daniel Giese,
Matthew Tong,
Orlando P Simonetti
May, 2021
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
Computer Vision and AI researcher
My research interests include Computer Vision, Biomedical Image Analysis, Trustworhty Deep Learning and Machine Learning for healthcare.