Publication Details
Intensity-Based Nonoverlapping Area Registration Supporting "drop-Outs" in Terms of Model-Based Radiostereometric Analysis
Novobilský Petr, Ing. (FNO)
Madeja Roman, MUDr., Ph.D. (FNO)
Bařina David, Ing., Ph.D. (DCGM FIT BUT)
Chromý Adam, Ing., Ph.D. (FEEC BUT)
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
Radiostereometric analysis, implant migration, pose estimation, intesity-based registration, OpenGL acceleration
A model-based radiostereometric analysis (MBRSA) is a method for precise measurement of prosthesis migration, which does not require marking the implant with tantalum beads. Instead, the prosthesis pose is typically recovered using a feature-based 2D-3D registration of its virtual model into a stereo pair of radiographs. In this study, we evaluate a novel intensity-based formulation of previously published non-overlapping area (NOA) approach. The registration is capable to perform with both binary radiographic segmentations or non segmented X-ray images. In contrast with the feature-based version, it is capable to deal with unreliable parts of prosthesis. As the straightforward formulation allows efficient acceleration using modern graphics adapters, it is possible to involve precise high-poly virtual models. Moreover, in case of binary segmentations, the non-overlapping area is simply interpretable, useful for indicating the accuracy of the registration outcome. In silico and phantom evaluations were performed 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 translational error was not higher than 0.042+-0.035 mm. The error in rotation around the proximodistal axis was 0.181+-0.265°, error for remaining axes was not higher than 0.035+-0.037°.
@ARTICLE{FITPUB11688,
author = "Ond\v{r}ej Kl\'{i}ma and Petr Novobilsk\'{y} and Roman Madeja and David Ba\v{r}ina and Adam Chrom\'{y} and Michal \v{S}pan\v{e}l and Pavel Zem\v{c}\'{i}k",
title = "Intensity-Based Nonoverlapping Area Registration Supporting {"}drop-Outs{"} in Terms of Model-Based Radiostereometric Analysis",
pages = "1--10",
journal = "Journal of Healthcare Engineering",
volume = 2018,
number = 1,
year = 2018,
ISSN = "2040-2295",
doi = "10.1155/2018/8538125",
language = "english",
url = "https://www.fit.vut.cz/research/publication/11688"
}