Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images
Zimmer VA, Gomez A, Skelton E, Toussaint N, Zhang T, Khanal B, Wright R, Noh Y, Ho A, Matthew J, Hajnal JV, Schnabel JA (2019)
Publication Type: Conference contribution
Publication year: 2019
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 11768 LNCS
Pages Range: 628-636
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Shenzhen, CHN
ISBN: 9783030322533
DOI: 10.1007/978-3-030-32254-0_70
Abstract
We propose a method to extract the human placenta at late gestation using multi-view 3D US images. This is the first step towards automatic quantification of placental volume and morphology from US images along the whole pregnancy beyond early stages (where the entire placenta can be captured with a single 3D US image). Our method uses 3D US images from different views acquired with a multi-probe system. A whole placenta segmentation is obtained from these images by using a novel technique based on 3D convolutional neural networks. We demonstrate the performance of our method on 3D US images of the placenta in the last trimester. We achieve a high Dice overlap of up to 0.8 with respect to manual annotations, and the derived placental volumes are comparable to corresponding volumes extracted from MR.
Involved external institutions
United Kingdom (GB)How to cite
APA:
Zimmer, V.A., Gomez, A., Skelton, E., Toussaint, N., Zhang, T., Khanal, B.,... Schnabel, J.A. (2019). Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images. In Dinggang Shen, Pew-Thian Yap, Tianming Liu, Terry M. Peters, Ali Khan, Lawrence H. Staib, Caroline Essert, Sean Zhou (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 628-636). Shenzhen, CHN: Springer Science and Business Media Deutschland GmbH.
MLA:
Zimmer, Veronika A., et al. "Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images." Proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, Shenzhen, CHN Ed. Dinggang Shen, Pew-Thian Yap, Tianming Liu, Terry M. Peters, Ali Khan, Lawrence H. Staib, Caroline Essert, Sean Zhou, Springer Science and Business Media Deutschland GmbH, 2019. 628-636.
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