Novel automatic detection of pleura and B-lines (comet-Tail artifacts) on in vivo lung ultrasound scans
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Novel automatic detection of pleura and B-lines (comet-Tail artifacts) on in vivo lung ultrasound scans. / Moshavegh, Ramin; Hansen, Kristoffer Lindskov; Møller Sørensen, Hasse; Hemmsen, Martin Christian; Ewertsen, Caroline; Nielsen, Michael Bachmann; Jensen, Jørgen Arendt.
Medical Imaging 2016: Ultrasonic Imaging and Tomography. red. / Brecht Heyde; Brecht Heyde; Neb Duric. SPIE, 2016. 97900K (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Bind 9790).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - Novel automatic detection of pleura and B-lines (comet-Tail artifacts) on in vivo lung ultrasound scans
AU - Moshavegh, Ramin
AU - Hansen, Kristoffer Lindskov
AU - Møller Sørensen, Hasse
AU - Hemmsen, Martin Christian
AU - Ewertsen, Caroline
AU - Nielsen, Michael Bachmann
AU - Jensen, Jørgen Arendt
N1 - Publisher Copyright: © 2016 SPIE.
PY - 2016
Y1 - 2016
N2 - This paper presents a novel automatic method for detection of B-lines (comet-Tail artifacts) in lung ultrasound scans. B-lines are the most commonly used artifacts for analyzing the pulmonary edema. They appear as laser-like vertical beams, which arise from the pleural line and spread down without fading to the edge of the screen. An increase in their number is associated with presence of edema. All the scans used in this study were acquired using a BK3000 ultrasound scanner (BK Ultrasound, Denmark) driving a 192-element 5:5 MHz wide linear transducer (10L2W, BK Ultrasound). The dynamic received focus technique was employed to generate the sequences. Six subjects, among those three patients after major surgery and three normal subjects, were scanned once and Six ultrasound sequences each containing 50 frames were acquired. The proposed algorithm was applied to all 300 in-vivo lung ultrasound images. The pleural line is first segmented on each image and then the B-line artifacts spreading down from the pleural line are detected and overlayed on the image. The resulting 300 images showed that the mean lateral distance between B-lines detected on images acquired from patients decreased by 20% in compare with that of normal subjects. Therefore, the method can be used as the basis of a method of automatically and qualitatively characterizing the distribution of B-lines.
AB - This paper presents a novel automatic method for detection of B-lines (comet-Tail artifacts) in lung ultrasound scans. B-lines are the most commonly used artifacts for analyzing the pulmonary edema. They appear as laser-like vertical beams, which arise from the pleural line and spread down without fading to the edge of the screen. An increase in their number is associated with presence of edema. All the scans used in this study were acquired using a BK3000 ultrasound scanner (BK Ultrasound, Denmark) driving a 192-element 5:5 MHz wide linear transducer (10L2W, BK Ultrasound). The dynamic received focus technique was employed to generate the sequences. Six subjects, among those three patients after major surgery and three normal subjects, were scanned once and Six ultrasound sequences each containing 50 frames were acquired. The proposed algorithm was applied to all 300 in-vivo lung ultrasound images. The pleural line is first segmented on each image and then the B-line artifacts spreading down from the pleural line are detected and overlayed on the image. The resulting 300 images showed that the mean lateral distance between B-lines detected on images acquired from patients decreased by 20% in compare with that of normal subjects. Therefore, the method can be used as the basis of a method of automatically and qualitatively characterizing the distribution of B-lines.
KW - B-lines
KW - comet-Tail artifacts
KW - lung disease
KW - pulmonary edema
KW - segmentation
KW - ultrasound imaging
UR - http://www.scopus.com/inward/record.url?scp=84976520262&partnerID=8YFLogxK
U2 - 10.1117/12.2216499
DO - 10.1117/12.2216499
M3 - Article in proceedings
AN - SCOPUS:84976520262
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2016
A2 - Heyde, Brecht
A2 - Heyde, Brecht
A2 - Duric, Neb
PB - SPIE
T2 - Medical Imaging 2016: Ultrasonic Imaging and Tomography
Y2 - 28 February 2016 through 29 February 2016
ER -
ID: 331498388