Automated detection of fiducial screws from CT/DVT volume data for image-guided ENT surgery

Zheng, Guoyan; Gerber, Nicolas; Widmer, Daniel; Stieger, Christof; Caversaccio, Marco; Nolte, Lutz-Peter; Weber, Stefan (2010). Automated detection of fiducial screws from CT/DVT volume data for image-guided ENT surgery. IEEE Engineering in Medicine and Biology Society conference proceedings, 2010, pp. 2325-2328. Piscataway, N.J.: IEEE Service Center 10.1109/IEMBS.2010.5627459

This paper presents an automated solution for precise detection of fiducial screws from three-dimensional (3D) Computerized Tomography (CT)/Digital Volume Tomography (DVT) data for image-guided ENT surgery. Unlike previously published solutions, we regard the detection of the fiducial screws from the CT/DVT volume data as a pose estimation problem. We thus developed a model-based solution. Starting from a user-supplied initialization, our solution detects the fiducial screws by iteratively matching a computer aided design (CAD) model of the fiducial screw to features extracted from the CT/DVT data. We validated our solution on one conventional CT dataset and on five DVT volume datasets, resulting in a total detection of 24 fiducial screws. Our experimental results indicate that the proposed solution achieves much higher reproducibility and precision than the manual detection. Further comparison shows that the proposed solution produces better results on the DVT dataset than on the conventional CT dataset.

Item Type:

Conference or Workshop Item (Abstract)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Image Guided Therapy
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Ear, Nose and Throat Disorders (ENT)

UniBE Contributor:

Zheng, Guoyan; Gerber, Nicolas; Widmer, Daniel; Stieger, Christof; Caversaccio, Marco; Nolte, Lutz-Peter and Weber, Stefan

Subjects:

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

ISSN:

1557-170X

Publisher:

IEEE Service Center

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:10

Last Modified:

14 Jun 2017 17:28

Publisher DOI:

10.1109/IEMBS.2010.5627459

PubMed ID:

21096801

Web of Science ID:

000287964002179

URI:

https://boris.unibe.ch/id/eprint/1492 (FactScience: 203199)

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