B-line detection and localization by means of deep learning: preliminary in-vitro results

Ruud J.G. van Sloun, Libertario Demi

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Lung ultrasound imaging is nowadays receiving growing attention. In fact, the analysis of specific artefactual patterns reveals important diagnostic information. A- and B-line artifacts are particularly important. A-lines are generally considered a sign of a healthy lung, while B-line artifacts correlate with a large variety of pathological conditions. B-lines have been found to indicate an increase in extravascular lung water, the presence of interstitial lung diseases, non-cardiogenic lung edema, interstitial pneumonia and lung contusion. The capability to accurately and objectively detect and localize B-lines in a lung ultrasound video is therefore of great clinical interest. In this paper, we present a method aimed at supporting clinicians in the analysis of ultrasound videos by automatically detecting and localizing B-lines, in real-time. To this end, modern deep learning strategies have been used and a fully convolutional neural network has been trained to detect B-lines in B-mode images of dedicated ultrasound phantoms. Furthermore, neural attention maps have been calculated to visualize which components in the image triggered the network, thereby offering simultaneous weakly-supervised localization. An accuracy, sensitivity, specificity, negative and positive predictive value equal to 0.917, 0.915, 0.918, 0.950 and 0.864 were achieved in-vitro using data from dedicated lung-mimicking phantoms, respectively.

Originele taal-2Engels
TitelImage Analysis and Recognition - 16th International Conference, ICIAR 2019, Proceedings
RedacteurenFakhri Karray, Alfred Yu, Aurélio Campilho
Plaats van productieCham
UitgeverijSpringer
Pagina's418-424
Aantal pagina's7
ISBN van elektronische versie978-3-030-27202-9
ISBN van geprinte versie978-3-030-27201-2
DOI's
StatusGepubliceerd - 8 aug 2019
Evenement16th International Conference on Image Analysis and Recognition, ICIAR 2019 - Waterloo, Canada
Duur: 27 aug 201929 aug 2019

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11662 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres16th International Conference on Image Analysis and Recognition, ICIAR 2019
LandCanada
StadWaterloo
Periode27/08/1929/08/19

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  • Citeer dit

    van Sloun, R. J. G., & Demi, L. (2019). B-line detection and localization by means of deep learning: preliminary in-vitro results. In F. Karray, A. Yu, & A. Campilho (editors), Image Analysis and Recognition - 16th International Conference, ICIAR 2019, Proceedings (blz. 418-424). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11662 LNCS). Springer. https://doi.org/10.1007/978-3-030-27202-9_38