Statistical Shape Model of the Eustachian Tube for Understanding and Managing Eustachian Tube Dysfunction
Highlight the current limited understanding of the variations present with the eustachian tube and demonstrate the utility of statistical shape models in quantifying variations present within the eustachian tube to explain interpatient differences based on age, sex, and pathology.
May 5, 2023
Statistical Shape Model of the Eustachian Tube for Understanding and Managing Eustachian Tube Dysfunction
Obtaining automated, objective 3-dimensional (3D) models of the Eustachian tube (ET) and the internal carotid artery (ICA) from computed tomography (CT) scans could provide useful navigational and diagnostic information for ET pathologies and interventions. We aim to develop a deep learning (DL) pipeline to automatically segment the ET and ICA and use these segmentations to compute distances between these structures.
Oct 2, 2022