TY - GEN
T1 - An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery
AU - Wong, Chun Kit
AU - Lin, Manxi
AU - Raheli, Alberto
AU - Bashir, Zahra
AU - Svendsen, Morten Bo Søndergaard
AU - Tolsgaard, Martin Grønnebæk
AU - Feragen, Aasa
AU - Christensen, Anders Nymark
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Examination of the umbilical artery with Doppler ultrasonography is performed to investigate blood supply to the fetus through the umbilical cord, which is vital for the monitoring of fetal health. Such examination involves several steps that must be performed correctly: identifying suitable sites on the umbilical artery for the measurement, acquiring the blood flow curve in the form of a Doppler spectrum, and ensuring compliance to a set of quality standards. These steps are performed manually and rely heavily on the operator’s skill. In this work, we propose an automated pipeline as an assistive system. By using a modified Faster R-CNN network, we trained a model that can suggest locations suitable for Doppler measurement. Meanwhile, we have also developed a method for assessment of the Doppler spectrum’s quality. The proposed system is validated on 657 images from a national ultrasound screening database, with results demonstrating its potential as a guidance system.
AB - Examination of the umbilical artery with Doppler ultrasonography is performed to investigate blood supply to the fetus through the umbilical cord, which is vital for the monitoring of fetal health. Such examination involves several steps that must be performed correctly: identifying suitable sites on the umbilical artery for the measurement, acquiring the blood flow curve in the form of a Doppler spectrum, and ensuring compliance to a set of quality standards. These steps are performed manually and rely heavily on the operator’s skill. In this work, we propose an automated pipeline as an assistive system. By using a modified Faster R-CNN network, we trained a model that can suggest locations suitable for Doppler measurement. Meanwhile, we have also developed a method for assessment of the Doppler spectrum’s quality. The proposed system is validated on 657 images from a national ultrasound screening database, with results demonstrating its potential as a guidance system.
KW - Doppler Imaging
KW - Fetal Ultrasound
KW - Umbilical Artery
UR - http://www.scopus.com/inward/record.url?scp=85174677328&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-44521-7_2
DO - 10.1007/978-3-031-44521-7_2
M3 - Article in proceedings
AN - SCOPUS:85174677328
SN - 9783031445200
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 13
EP - 22
BT - Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Proceedings
A2 - Kainz, Bernhard
A2 - Müller, Johanna Paula
A2 - Kainz, Bernhard
A2 - Noble, Alison
A2 - Schnabel, Julia
A2 - Khanal, Bishesh
A2 - Day, Thomas
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Workshop of Advances in Simplifying Medical Ultrasound, ASMUS 2023
Y2 - 8 October 2023 through 8 October 2023
ER -