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Similarity Registration Problems for 2D/3D Ultrasound Calibration

Vasconcelos, F; Peebles, D; Ourselin, S; Stoyanov, D; (2016) Similarity Registration Problems for 2D/3D Ultrasound Calibration. In: Leibe, B and Matas, J and Sebe, N and Welling, M, (eds.) Computer Vision – ECCV 2016. (pp. pp. 171-187). Springer International Publishing: Cham, Switzerland. Green open access

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Abstract

We propose a minimal solution for the similarity registration (rigid pose and scale) between two sets of 3D lines, and also between a set of co-planar points and a set of 3D lines. The first problem is solved up to 8 discrete solutions with a minimum of 2 line-line correspondences, while the second is solved up to 4 discrete solutions using 4 point-line correspondences. We use these algorithms to perform the extrinsic calibration between a pose tracking sensor and a 2D/3D ultrasound (US) curvilinear probe using a tracked needle as calibration target. The needle is tracked as a 3D line, and is scanned by the ultrasound as either a 3D line (3D US) or as a 2D point (2D US). Since the scale factor that converts US scan units to metric coordinates is unknown, the calibration is formulated as a similarity registration problem. We present results with both synthetic and real data and show that the minimum solutions outperform the correspondent non-minimal linear formulations.

Type: Proceedings paper
Title: Similarity Registration Problems for 2D/3D Ultrasound Calibration
Event: 14th European Conference on Computer Vision (ECCV)
Location: Amsterdam, NETHERLANDS
Dates: 08 October 2016 - 16 October 2016
ISBN-13: 9783319464657
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-46466-4_11
Publisher version: http://dx.doi.org/10.1007/978-3-319-46466-4_11
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.
Keywords: Calibration, Similarity registration, Ultrasound, Medical imaging
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Maternal and Fetal Medicine
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 Computer 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/1512331
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