Tracheomalacia (TM) is a common morbidity associated with prematurity and manifests as dynamic collapse of the trachea lumen due to cyclic changes of intrathoracic pressure during breathing. Premature infants often have elevated work of breathing (WOB) related to their distal, small airway and lung abnormalities. The large airway contribution to WOB can be determined using computational fluid dynamics (CFD), which is a well-known technique to calculate the resistance and WOB in the human airway. However, previous studies are based on static airway geometry without motion. Using the novel technique of ultrashort echo time (UTE) magnetic resonance imaging (MRI), the tidal volume and airway motion can be used to create a dynamic model for use in CFD. Our aim is to calculate the estimated WOB in a dynamic trachea with neonatal TM compared with a stable, static trachea. Read More

Meeting name: SPR 2020 Annual Meeting & Postgraduate Course , 2020

Authors: Gunatilaka Chamindu, Bates Alister, Higano Nara, Hahn Andrew, Fain Sean, Hysinger Erik, Fleck Robert, Woods Jason

Keywords: Bronchopulmonary Dysplasia, MRI, Prematurity

Qualitative scores of parenchymal disease severity from 3D lung MRI predict clinical outcomes such as duration of respiratory support in infants with BPD. However, current methods suffer from low signal-to-noise ratio (SNR) and motion-related blurring, reducing interpretability and diagnostic confidence. The inherently quiet zero echo time (ZTE) MRI with deep learning reconstruction (DLR) may improve diagnostic reliability but has not been evaluated in infants. This study assessed the feasibility of ZTE MRI and image quality improvements with DLR in infants with BPD. Read More

Meeting name: IPR 2026 Congress , 2026

Authors: Munidasa Samal, Bates Alister, Kingma Paul, Hysinger Erik, Woods Jason, Willmering Matthew, Muslu Yavuz, De Arcos Jose, Morin Cara, Kocaoglu Murat, Fleck Robert, Pednekar Amol, Tanimoto Aki, Higano Nara

Keywords: Neonatal, Deep Learning, Pulmonary