UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound

Williams, H; Cattani, L; Yaqub, M; Sudre, C; Vercauteren, T; Deprest, J; D’hooge, J; (2020) Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound. In: Hu, Y and Licandro, R and Noble, AJ and Hutter, J and Aylward, S and Melbourne, A and Abaci Turk, E and Torrents Barrena, J, (eds.) ASMUS 2020, PIPPI 2020: Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis. (pp. pp. 136-145). Springer: Lima, Peru. Green open access

[thumbnail of ASMUS_HelenaWilliams.pdf]
Preview
Text
ASMUS_HelenaWilliams.pdf - Accepted Version

Download (806kB) | Preview

Abstract

Transperineal volumetric ultrasound (US) imaging has become routine practice for diagnosing pelvic floor disease (PFD). Hereto, clinical guidelines stipulate to make measurements in an anatomically defined 2D plane within a 3D volume, the so-called C-plane. This task is currently performed manually in clinical practice, which is labour-intensive and requires expert knowledge of pelvic floor anatomy, as no computer-aided C-plane method exists. To automate this process, we propose a novel, guideline-driven approach for automatic detection of the C-plane. The method uses a convolutional neural network (CNN) to identify extreme coordinates of the symphysis pubis and levator ani muscle (which define the C-plane) directly via landmark regression. The C-plane is identified in a postprocessing step. When evaluated on 100 US volumes, our best performing method (multi-task regression with UNet) achieved a mean error of 6.05 mm and 4.81 ∘ and took 20 s. Two experts blindly evaluated the quality of the automatically detected planes and manually defined the (gold standard) C-plane in terms of their clinical diagnostic quality. We show that the proposed method performs comparably to the manual definition. The automatic method reduces the average time to detect the C-plane by 100 s and reduces the need for high-level expertise in PFD US assessment.

Type: Proceedings paper
Title: Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound
Event: First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020
ISBN-13: 9783030603335
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-60334-2_14
Publisher version: https://doi.org/10.1007/978-3-030-60334-2_14
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine > MRC Unit for Lifelong Hlth and Ageing
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10113897
Downloads since deposit
155Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item