B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation

07/26/2021
by   Hamideh Kerdegari, et al.
0

Lung ultrasound (LUS) imaging is becoming popular in the intensive care units (ICU) for assessing lung abnormalities such as the appearance of B-line artefacts as a result of severe dengue. These artefacts appear in the LUS images and disappear quickly, making their manual detection very challenging. They also extend radially following the propagation of the sound waves. As a result, we hypothesize that a polar representation may be more adequate for automatic image analysis of these images. This paper presents an attention-based Convolutional+LSTM model to automatically detect B-lines in LUS videos, comparing performance when image data is taken in Cartesian and polar representations. Results indicate that the proposed framework with polar representation achieves competitive performance compared to the Cartesian representation for B-line classification and that attention mechanism can provide better localization.

READ FULL TEXT

page 2

page 3

page 5

research
02/01/2021

Automatic Detection of B-lines in Lung Ultrasound Videos From Severe Dengue Patients

Lung ultrasound (LUS) imaging is used to assess lung abnormalities, incl...
research
09/13/2021

Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging

Most applications of deep learning techniques in medical imaging are sup...
research
11/04/2021

A semi-automatic ultrasound image analysis system for the grading diagnosis of COVID-19 pneumonia

This paper proposes a semi-automatic system based on quantitative charac...
research
01/19/2022

The Role of Pleura and Adipose in Lung Ultrasound AI

In this paper, we study the significance of the pleura and adipose tissu...
research
06/13/2021

Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos

Lung ultrasound (LUS) is an increasingly popular diagnostic imaging moda...
research
08/01/2022

Software Package for Automated Analysis of Lung Ultrasound Videos

In the recent past with the rapid surge of COVID-19 infections, lung ult...
research
10/31/2020

Deep learning in the ultrasound evaluation of neonatal respiratory status

Lung ultrasound imaging is reaching growing interest from the scientific...

Please sign up or login with your details

Forgot password? Click here to reset