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Abstract #0298

Real-Time Imaging of Lower Airway Collapse at 0.55T

Sarina Kapai1, Prakash Kumar1, Ecrin Yagiz1, Ye Tian1, Roberta Kato2, Marcus Chen3, Marcela Ferrada3, Adrienne Campbell-Washburn3, and Krishna S Nayak1
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Children's Hospital Los Angeles, Los Angeles, CA, United States, 3National Institutes of Health, Bethesda, MD, United States

Synopsis

Keywords: Rare Disease, Low-Field MRI, Acquisition Methods, Data Acquisition, Pulse Sequence Design, Lower Airway, Tracheomalacia, Lung

Motivation: Tracheomalacia involves intermittent collapse of the lower airway and is difficult to diagnose. Currently, this condition is evaluated with invasive procedures like bronchoscopy or dynamic computer tomography (CT) which utilizes ionizing radiation.

Goal(s): To develop and optimize a high spatial and temporal resolution pulse sequence for evaluating tracheomalacia at 0.55T.

Approach: We optimize contrast (sequence, flip angle) for dynamic imaging in the lower airway for both 2D and SMS real-time imaging.

Results: Spiral acquisition achieves sufficient temporal resolution and the TrueFISP sequence (flip angle=32°) offers optimal contrast for imaging lower airway collapse.

Impact: We demonstrate the feasibility of capturing lower airway collapse with 2D and SMS real-time imaging (at 0.55T) in a way that is informative to the diagnosis and longitudinal monitoring of tracheomalacia.

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