Calibration of C-arm for orthopaedic interventions via statistical model-based distortion correction and robust phantom detection

Schumann, Steffen; Dong, Xiao; Puls, Marc; Nolte, Lutz-Peter; Zheng, Guoyan (2012). Calibration of C-arm for orthopaedic interventions via statistical model-based distortion correction and robust phantom detection. In: 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012) (pp. 1204-1207). IEEE 10.1109/ISBI.2012.6235777

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In this paper, we present a novel C-arm calibration approach for orthopedic applications that is based on a distortion correction plate with fiducials arranged in a single-plane and a novel mobile phantom. The former is designed to be rigidly attached to the image intensifier and is used together with a statistical model of the geometrical image distortion pattern for intra-operative image distortion correction. The latter can be placed to anywhere close to the patient anatomy being imaged. A simulation based method is then proposed for a robust detection of the phantom from an intra-operatively acquired image in order to compute both the intrinsic and the extrinsic parameters of the acquired image. Validation study performed on 20 cadaver images demonstrated an average calibration accuracy of 0.8 ± 0.4 mm.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Schumann, Steffen; Dong, Xiao; Puls, Marc; Nolte, Lutz-Peter and Zheng, Guoyan

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISBN:

978-1-4577-1857-1

Publisher:

IEEE

Language:

English

Submitter:

Guoyan Zheng

Date Deposited:

26 Jul 2017 14:08

Last Modified:

26 Jul 2017 14:08

Publisher DOI:

10.1109/ISBI.2012.6235777

BORIS DOI:

10.7892/boris.82247

URI:

https://boris.unibe.ch/id/eprint/82247

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