Pathophysiologic changes in lung diseases are often accompanied by changes in
ventilation and gas exchange. Comprehensive evaluation of lung function cannot be …

Introduction Although historically challenging to perform in the lung, technological
advancements have made Magnetic Resonance Imaging (MRI) increasingly applicable for …

Abstract Purpose The interaction between 129Xe atoms and pulmonary capillary red blood
cells provides cardiogenic signal oscillations that display sensitivity to precapillary and …

Background Hyperpolarized gas MRI can quantify regional lung ventilation via biomarkers,
including the ventilation defect percentage (VDP). VDP is computed from segmentations …

Rationale and Objectives The minimal clinically important difference (MCID) and upper limit
of normal (ULN) for MRI ventilation defect percent (VDP) were previously reported for …

Background Recently, deep learning via convolutional neural networks (CNNs) has largely
superseded conventional methods for proton (1H)‐MRI lung segmentation. However …

Background Hyperpolarized gas MRI is a functional lung imaging modality capable of
visualizing regional lung ventilation with exceptional detail within a single breath. However …

This paper provides an in-depth overview of Deep Neural Networks and their application in
the segmentation and analysis of lung Magnetic Resonance Imaging (MRI) scans …

This research focused on Real-time MRI lung images that were revealed using three grade
processes by manip-15 ulating nanophotonics components, mapping by deep learning …

Lung is the most important gas exchange organ of human, and the smooth airway is the
basis of lung function. The condition of the trachea is associated with a variety of diseases …