The Role of Pleura and Adipose in Lung Ultrasound AI
Gautam Rajendrakumar Gare
Wanwen Chen
A. Hung
Edward Chen
H. V. Tran
Thomas H. Fox
P. Lowery
K. Zamora
Bennett P deBoisblanc
R. Rodriguez
J. Galeotti

Abstract
In this paper, we study the significance of the pleura and adipose tissue in lung ultrasound AI analysis. We highlight their more prominent appearance when using high-frequency linear (HFL) instead of curvilinear ultrasound probes, showing HFL reveals better pleura detail. We compare the diagnostic utility of the pleura and adipose tissue using an HFL ultrasound probe. Masking the adipose tissue during training and inference (while retaining the pleural line and Merlin's space artifacts such as A-lines and B-lines) improved the AI model's diagnostic accuracy.
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