The Role of Pleura and Adipose in Lung Ultrasound AI
Document Type
Conference Proceeding
Publication Date
11-14-2021
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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.
First Page
141
Last Page
149
Volume
12969 LNCS
Publisher
Springer
Recommended Citation
Gare, Gautam Rajendrakumar; Chen, Wanwen; Hung, Alex Ling Yu; Chen, Edward; Tran, Hai V.; Fox, Tom; Lowery, Peter; Zamora, Kevin; DeBoisblanc, Bennett P.; Rodriguez, Ricardo Luis; and Galeotti, John Michael, "The Role of Pleura and Adipose in Lung Ultrasound AI" (2021). School of Medicine Faculty Publications. 128.
https://digitalscholar.lsuhsc.edu/som_facpubs/128