Publication Details
Intensity-Based Nonoverlapping Area Registration Supporting "drop-Outs" in Terms of Model-Based Radiostereometric Analysis
Novobilský Petr
Madeja Roman
Bařina David, Ing., Ph.D. (DCGM)
Chromý Adam, Ing., Ph.D. (RG-3-02)
Španěl Michal, doc. Ing., Ph.D. (DCGM)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
Radiostereometric analysis, implant migration, pose estimation,intesity-based registration, OpenGL acceleration
A model-based radiostereometric analysis (MBRSA) is a method for precisemeasurement of prosthesis migration, which does not require marking the implantwith tantalum beads. Instead, the prosthesis pose is typically recoveredusing a feature-based 2D-3D registration of its virtual model into a stereo pairof radiographs. In this study, we evaluate a novel intensity-based formulation ofpreviously published non-overlapping area (NOA) approach. The registrationis capable to perform with both binary radiographic segmentations or non segmentedX-ray images. In contrast with the feature-based version, it is capableto deal with unreliable parts of prosthesis. As the straightforward formulationallows efficient acceleration using modern graphics adapters, it is possible toinvolve precise high-poly virtual models. Moreover, in case of binary segmentations,the non-overlapping area is simply interpretable, useful for indicating theaccuracy of the registration outcome. In silico and phantom evaluations wereperformed using a cementless Zweymüller femoral stem and its reverse engineered(RE) model. For initial pose estimates with difference from the ground-truth limited to 4 mm and 4° respectively, the mean absolute translationalerror was not higher than 0.042+-0.035 mm. The error in rotation around theproximodistal axis was 0.181+-0.265°, error for remaining axes was not higherthan 0.035+-0.037°.
@article{BUT147195,
author="Ondřej {Klíma} and Petr {Novobilský} and Roman {Madeja} and David {Bařina} and Adam {Chromý} and Michal {Španěl} and Pavel {Zemčík}",
title="Intensity-Based Nonoverlapping Area Registration Supporting {"}drop-Outs{"} in Terms of Model-Based Radiostereometric Analysis",
journal="multi science- Journal of Healthcare Engineering",
year="2018",
volume="2018",
number="1",
pages="1--10",
doi="10.1155/2018/8538125",
issn="2040-2295",
url="https://www.fit.vut.cz/research/publication/11688/"
}