An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery

Chun Kit Wong; Manxi Lin; Alberto Raheli; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Aasa Feragen; Anders Nymark Christensen

doi:10.1007/978-3-031-44521-7_2

An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery

Chun Kit Wong^*, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen

^*Corresponding author af dette arbejde

CAMES

Abstract

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.

Originalsprog	Engelsk
Titel	Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Proceedings
Redaktører	Bernhard Kainz, Johanna Paula Müller, Bernhard Kainz, Alison Noble, Julia Schnabel, Bishesh Khanal, Thomas Day
Antal sider	10
Forlag	Springer Science and Business Media Deutschland GmbH
Publikationsdato	2023
Sider	13-22
ISBN (Trykt)	9783031445200
DOI	https://doi.org/10.1007/978-3-031-44521-7_2
Status	Udgivet - 2023
Begivenhed	4th International Workshop of Advances in Simplifying Medical Ultrasound, ASMUS 2023 - Vancouver, Canada Varighed: 8 okt. 2023 → 8 okt. 2023

Konference

Konference	4th International Workshop of Advances in Simplifying Medical Ultrasound, ASMUS 2023
Land/Område	Canada
By	Vancouver
Periode	08/10/2023 → 08/10/2023

Navn	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind	14337 LNCS
ISSN	0302-9743

Adgang til dokumentet

10.1007/978-3-031-44521-7_2

Andre filer og links

Link to publication in Scopus

Citationsformater

Wong, C. K., Lin, M., Raheli, A., Bashir, Z., Svendsen, M. B. S., Tolsgaard, M. G., Feragen, A., & Christensen, A. N. (2023). An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. I B. Kainz, J. P. Müller, B. Kainz, A. Noble, J. Schnabel, B. Khanal, & T. Day (red.), Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Proceedings (s. 13-22). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-44521-7_2

An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. / Wong, Chun Kit; Lin, Manxi; Raheli, Alberto et al.
Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Proceedings. red. / Bernhard Kainz; Johanna Paula Müller; Bernhard Kainz; Alison Noble; Julia Schnabel; Bishesh Khanal; Thomas Day. Springer Science and Business Media Deutschland GmbH, 2023. s. 13-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14337 LNCS).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Wong, CK, Lin, M, Raheli, A, Bashir, Z, Svendsen, MBS , Tolsgaard, MG, Feragen, A & Christensen, AN 2023, An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. i B Kainz, JP Müller, B Kainz, A Noble, J Schnabel, B Khanal & T Day (red), Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Proceedings. Springer Science and Business Media Deutschland GmbH, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), bind 14337 LNCS, s. 13-22, 4th International Workshop of Advances in Simplifying Medical Ultrasound, ASMUS 2023, Vancouver, Canada, 08/10/2023. https://doi.org/10.1007/978-3-031-44521-7_2

Wong CK, Lin M, Raheli A, Bashir Z, Svendsen MBS , Tolsgaard MG et al. An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. I Kainz B, Müller JP, Kainz B, Noble A, Schnabel J, Khanal B, Day T, red., Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. s. 13-22. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14337 LNCS). doi: 10.1007/978-3-031-44521-7_2

Wong, Chun Kit ; Lin, Manxi ; Raheli, Alberto et al. / An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Proceedings. red. / Bernhard Kainz ; Johanna Paula Müller ; Bernhard Kainz ; Alison Noble ; Julia Schnabel ; Bishesh Khanal ; Thomas Day. Springer Science and Business Media Deutschland GmbH, 2023. s. 13-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14337 LNCS).

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AU - Bashir, Zahra

AU - Svendsen, Morten Bo Søndergaard

AU - Tolsgaard, Martin Grønnebæk

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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.

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