Multi-view image reconstruction: Application to fetal ultrasound compounding
Zimmer VA, Gomez A, Noh Y, Toussaint N, Khanal B, Wright R, Peralta L, Van Poppel M, Skelton E, Matthew J, Schnabel JA (2018)
Publication Type: Conference contribution
Publication year: 2018
Journal
Publisher: Springer Verlag
Book Volume: 11076 LNCS
Pages Range: 107-116
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Granada, ESP
ISBN: 9783030008062
DOI: 10.1007/978-3-030-00807-9_11
Abstract
Ultrasound (US), a standard diagnostic tool to detect fetal abnormalities, is a direction dependent imaging modality, i.e. the position of the probe highly influences the appearance of the image. View-dependent artifacts such as shadows can obstruct parts of the anatomy of interest and degrade the quality and usefulness of the image. If multiple images of the same structure are acquired from different views, view-dependent artifacts can be minimized. In this work, we propose a new US image reconstruction technique using multiple B-spline grids to enable multi-view US image compounding. The B-spline coefficients of different control point grids adapted to the geometry of the data are simultaneously optimized at every resolution level. Data points are weighted depending on their view, position and intensity. We demonstrate our method on the compounding of co-planar 2D fetal US images acquired from multiple views. Using quantitative and qualitative evaluation scores, we show that the proposed method outperforms other multi-view compounding methods.
Involved external institutions
United Kingdom (GB)How to cite
APA:
Zimmer, V.A., Gomez, A., Noh, Y., Toussaint, N., Khanal, B., Wright, R.,... Schnabel, J.A. (2018). Multi-view image reconstruction: Application to fetal ultrasound compounding. In Andrew Melbourne, Rosalind Aughwane, Emma Robinson, Roxane Licandro, Melanie Gau, Martin Kampel, Matthew DiFranco, Paolo Rota, Roxane Licandro, Pim Moeskops, Ernst Schwartz, Antonios Makropoulos (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 107-116). Granada, ESP: Springer Verlag.
MLA:
Zimmer, Veronika A., et al. "Multi-view image reconstruction: Application to fetal ultrasound compounding." Proceedings of the 1st International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and 3rd International Workshop on Preterm, Perinatal, and Paediatric Image Analysis, PIPPI 2018 Held in Conjunction with 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, Granada, ESP Ed. Andrew Melbourne, Rosalind Aughwane, Emma Robinson, Roxane Licandro, Melanie Gau, Martin Kampel, Matthew DiFranco, Paolo Rota, Roxane Licandro, Pim Moeskops, Ernst Schwartz, Antonios Makropoulos, Springer Verlag, 2018. 107-116.
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