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Proceedings Paper

Evaluation of three 3D US calibration methods
Author(s): Johann Hummel; Marcus Kaar; Rainer Hoffmann; Amon Bhatia; Wolfgang Birkfellner; Michael Figl
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Paper Abstract

With the introduction of 3D US image devices the demand for accurate and fast 3D calibration methods arose. We implemented three different calibration methods and compared the calibration results in terms of fiducial registration error (FRE) and target registration error (TRE). The three calibration methods included a multi-points phantom (MP), a feature based model (FM) and a membrane model (MM). With respect to the sphere method a simple point-to-point registration was applied. For the feature based model we employed a phantom consisting of spheres, pyramids and cones. These objects were imaged from different angles and a 3D3D registration was applied for all possible image combinations. The last method was accomplished by imaging a simple membrane which allows for calculation of the calibration matrix. For a first evaluation we computed the FRE for each method. To assess the calibration success on real patient data we used ten 3D3D registrations between images from the prostate. The FRE for the sphere method amounted to 1.40 mm, for the figure method to 1.05 mm and with respect to the membrane method to 1.12 mm. The deviation arising from ten 3D3D patient registration were 3.44 mm (MP), 2.93 mm (FM)and 2.84 mm (MM). The MM revealed to be the most accurate of the evaluated procedure while the MP has shown significant higher errors. The results from FM were close to the one from MM and also significant better than the one with the SM. Between FM and MM no significant difference was to detect.

Paper Details

Date Published: 15 March 2013
PDF: 8 pages
Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86712I (15 March 2013); doi: 10.1117/12.2007365
Show Author Affiliations
Johann Hummel, Medizinische Univ. Wien (Austria)
Wilhelminenspital Wien (Austria)
Marcus Kaar, Medizinische Univ. Wien (Austria)
Rainer Hoffmann, Medizinische Univ. Wien (Austria)
Amon Bhatia, Medizinische Univ. Wien (Austria)
Wolfgang Birkfellner, Medizinische Univ. Wien (Austria)
Michael Figl, Medizinische Univ. Wien (Austria)

Published in SPIE Proceedings Vol. 8671:
Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling
David R. Holmes; Ziv R. Yaniv, Editor(s)

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