Abstract: Methods and apparatuses for performing automated detection of lung slide using a computing device (e.g., an ultrasound system, etc.) are disclosed. In some embodiments, the techniques determine lung sliding using one or more neural networks. In some embodiments, the neural networks are part of a process that determines probabilities of the lung sliding at one or more M-lines. In some embodiments, the techniques display one or more probabilities of lung sliding in a B-mode ultrasound image.
Type:
Grant
Filed:
May 2, 2022
Date of Patent:
May 6, 2025
Assignees:
FUJIFILM SONOSITE, INC., MASS GENERAL BRIGHAM
Inventors:
Thomas Michael Duffy, Davinder S. Dhatt, Paul Tomotaro Danset, Adam Benjamin Pely, Christopher Alexksandr White, Diku Pranav Mandavia, Quanzheng Li, Andrew Liteplo, Kyungsang Kim, Suzannah McKinney, Fabiola Macruz