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Can an Adapted SEM Accurately Deliver 129Xe MRI-based Lung Morphometry Estimates

Can Hyperpolarized Gas MRI and Machine Learning Predict Longitudinal Changes in Airflow Limitation in Ex-smokers?

Author:Maksym Sharma  Andrew Westcott  Aaron Fenster  David McCormack  Grace Parraga  

Institution:Western University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Thoracic and Breast MRI  

Session Name:Hyperpolarized Gas Lung MRI  

Program Number:2287  

Room Live Q&A Session:

Fully-automated 1H MRI Thoracic Cavity Segmentation for Hyperpolarized Gas Imaging using a Convolutional Neural Network

Author:Alexander Matheson  Rachel Eddy  Jonathan MacNeil  Marrissa McIntosh  Grace Parraga  

Institution:Robarts Research Institute, Western University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:Thoracic/Lung MRI  

Session Name:Pulmonary Power  

Program Number:0450  

Room Live Q&A Session:Tuesday Parallel 3  

Novel MRI-based Clusters of Asthma: Pulmonary Functional MRI and CT

Author:Rachel Eddy  Christopher Licskai  David McCormack  Grace Parraga  

Institution:Robarts Research Institute  Western University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:Thoracic/Lung MRI  

Session Name:Pulmonary Power  

Program Number:0441  

Room Live Q&A Session:Tuesday Parallel 3  

Supervised shallow learning of 129Xe MRI texture features to predict response to Anti-IL-5 biologic therapy in severe asthma