PRO-TIP: Phantom for RObust Automatic Ultrasound Calibration by TIP Detection
Ronchetti M, Rackerseder J, Tirindelli M, Salehi M, Navab N, Wein W, Zettinig O (2022)
Publication Type: Conference contribution
Publication year: 2022
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 13437 LNCS
Pages Range: 84-93
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Singapore, SGP
ISBN: 9783031164484
DOI: 10.1007/978-3-031-16449-1_9
Abstract
We propose a novel method to automatically calibrate tracked ultrasound probes. To this end we design a custom phantom consisting of nine cones with different heights. The tips are used as key points to be matched between multiple sweeps. We extract them using a convolutional neural network to segment the cones in every ultrasound frame and then track them across the sweep. The calibration is robustly estimated using RANSAC and later refined employing image based techniques. Our phantom can be 3D-printed and offers many advantages over state-of-the-art methods. The phantom design and algorithm code are freely available online. Since our phantom does not require a tracking target on itself, ease of use is improved over currently used techniques. The fully automatic method generalizes to new probes and different vendors, as shown in our experiments. Our approach produces results comparable to calibrations obtained by a domain expert.
Involved external institutions
Germany (DE)How to cite
APA:
Ronchetti, M., Rackerseder, J., Tirindelli, M., Salehi, M., Navab, N., Wein, W., & Zettinig, O. (2022). PRO-TIP: Phantom for RObust Automatic Ultrasound Calibration by TIP Detection. In Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 84-93). Singapore, SGP: Springer Science and Business Media Deutschland GmbH.
MLA:
Ronchetti, Matteo, et al. "PRO-TIP: Phantom for RObust Automatic Ultrasound Calibration by TIP Detection." Proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, Singapore, SGP Ed. Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li, Springer Science and Business Media Deutschland GmbH, 2022. 84-93.
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