Paper
6 March 2018 B-line detection using amplitude modulation-frequency modulation (AM-FM) features
Gustavo Chau, Gabriela Mamani, Edmundo Pozo Fortunić, Sergio Serpa, Omar Zenteno, Dante Ramos, Gilberto Peña, Gilma Fredes, Elizabeth Chura, Eduardo Ticona, Haley Manella, Viveta Lobo, Jeremy Dahl, Benjamín V. Castañeda, Benjamín Castañeda, Roberto Lavarello
Author Affiliations +
Abstract
Pneumonia is one of the most common acute respiratory infections among pediatric populations worldwide. Ultrasound is becoming increasingly important in the diagnosis of lung diseases as a more portable and safer alternative to X-ray imaging. In the current work, we present a new automatic system for detection of B-lines, one of the distinctive features of pneumonic ultrasound scans, using amplitude modulation-frequency modulation (AM-FM). Features are evaluated on 109 videos obtained from 100 pediatric patients using a Verasonics V1 scanner. Further, the results were compared to the ones obtained with a previously published spectral feature (SF) method. Sensitivities of 92% and 83% and specificities of 91% and 70% were obtained on zone-1 and zone-2 of the lungs, respectively. In contrast, the SF method provided sensitivities of 72% and 68% in zone-1 and zone-2, respectively, and specificities of 68% and 46% in zone-1 and zone-2, respectively. In addition, the AM-FM method allowed increasing the F1-score when compared to the SF method from 70% to 87% and from 61% to 78% in zone-1 and zone-2, respectively. The results suggest the proposed method may be useful for the computer assisted diagnosis of pneumonia.
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Gustavo Chau, Gabriela Mamani, Edmundo Pozo Fortunić, Sergio Serpa, Omar Zenteno, Dante Ramos, Gilberto Peña, Gilma Fredes, Elizabeth Chura, Eduardo Ticona, Haley Manella, Viveta Lobo, Jeremy Dahl, Benjamín V. Castañeda, Benjamín Castañeda, and Roberto Lavarello "B-line detection using amplitude modulation-frequency modulation (AM-FM) features", Proc. SPIE 10580, Medical Imaging 2018: Ultrasonic Imaging and Tomography, 105800B (6 March 2018); https://doi.org/10.1117/12.2285224
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KEYWORDS
Ultrasonography

Image segmentation

Lung

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