Software Package for Automated Analysis of Lung Ultrasound Videos

TL;DR

This paper introduces an open-source software package that automates the analysis of lung ultrasound videos, aiding in infection detection and landmark segmentation, especially useful during COVID-19 monitoring.

Contribution

It presents a novel integrated web-based tool for automated lung ultrasound analysis, including key frame summarization, infection flagging, and landmark segmentation.

Findings

Provides automatic detection of lung infection in videos

Summarizes key frames for efficient review

Offers open-source accessibility for clinical use

Abstract

In the recent past with the rapid surge of COVID-19 infections, lung ultrasound has emerged as a fast and powerful diagnostic tool particularly for continuous and periodic monitoring of the lung. There have been many attempts towards severity classification, segmentation and detection of key landmarks in the lung. Leveraging the progress, an automated lung ultrasound video analysis package is presented in this work, which can provide summary of key frames in the video, flagging of the key frames with lung infection and options to automatically detect and segment the lung landmarks. The integrated package is implemented as an open-source web application and available in the link https://github.com/anitoanto/alus-package.