Intensity-Based Nonoverlapping Area Registration Supporting "Drop-Outs" in Terms of Model-Based Radiostereometric Analysis

. 2018 ; 2018 () : 8538125. [epub] 20180503

Jazyk angličtina Země Anglie, Velká Británie Médium electronic-ecollection

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid29854367

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 nonoverlapping area (NOA) approach. The registration is capable of performing with both binary radiographic segmentations and nonsegmented X-ray images. In contrast with the feature-based version, it is capable of dealing 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 nonoverlapping area is simply interpretable and 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°, and the error for the remaining axes was not higher than 0.035 ± 0.037°.

Zobrazit více v PubMed

Selvik G. Roentgen stereophotogrammetry. A method for the study of the kinematics of the skeletal system. 1989;60(S232):1–51. doi: 10.3109/17453678909154184. PubMed DOI

Selvik G. Roentgen stereophotogrammetric analysis. 1990;31(2):113–126. doi: 10.3109/02841859009177472. PubMed DOI

Nebergall A. K., Rader K., Palm H., Malchau H., Greene M. Precision of radiostereometric analysis (RSA) of acetabular cup stability and polyethylene wear improved by adding tantalum beads to the liner. 2015;86(5):563–568. doi: 10.3109/17453674.2015.1054255. PubMed DOI PMC

Valstar E. R., Gill R., Ryd L., Flivik G., Börlin N., Kärrholm J. Guidelines for standardization of radiostereometry (RSA) of implants. 2005;76(4):563–572. doi: 10.1080/17453670510041574. PubMed DOI

Valstar E. R., de Jong F. W., Vrooman H. A., Rozing P. M., Reiber J. H. C. Model-based roentgen stereophotogrammetry of orthopaedic implants. 2001;34(6):715–722. doi: 10.1016/s0021-9290(01)00028-8. PubMed DOI

Kaptein B. L., Valstar E. R., Spoor C. W., Stoel B. C., Rozing P. M. Model-based RSA of a femoral hip stem using surface and geometrical shape models. 2006;448:92–97. doi: 10.1097/01.blo.0000224010.04551.14. PubMed DOI

Nazari-Farsani S., Finnilä S., Moritz N., Mattilla K., Alm J., Aro H. T. Is model-based radiostereometric analysis suitable for clinical trials of a cementless tapered wedge femoral stem? 2016;474(10):2246–2253. doi: 10.1007/s11999-016-4930-0. PubMed DOI PMC

Shareghi B., Johanson P. E., Kärrholm J. Clinical evaluation of model-based radiostereometric analysis to measure femoral head penetration and cup migration in four different cup designs. 2017;35(4):760–767. doi: 10.1002/jor.23177. PubMed DOI

Kaptein B. L., Valstar E. R., Stoel B. C., Rozing P. M., Reiber J. H. C. A new model-based RSA method validated using CAD models and models from reversed engineering. 2003;36(6):873–882. doi: 10.1016/s0021-9290(03)00002-2. PubMed DOI

Kobayashi K., Sakamoto M., Tanabe Y., et al. Automated image registration for assessing three-dimensional alignment of entire lower extremity and implant position using bi-plane radiography. 2009;42(16):2818–2822. doi: 10.1016/j.jbiomech.2009.08.022. PubMed DOI

Syu C. B., Lai J. Y., Chang R. Y., Shih K. S., Chen K. J., Lin S. C. Automatic model-based roentgen stereophotogrammetric analysis (RSA) of total knee prostheses. 2012;45(1):164–171. doi: 10.1016/j.jbiomech.2011.09.011. PubMed DOI

Abdel-Aziz Y., Karara H., Hauck M. Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry. Proceedings of the Symposium on Close-Range Photogrammetry; January 1971; Falls Church, VA, USA. pp. 1–18.

Choo A. M. T., Oxland T. R. Improved RSA accuracy with DLT and balanced calibration marker distributions with an assessment of initial-calibration. 2003;36(2):259–264. doi: 10.1016/s0021-9290(02)00361-5. PubMed DOI

Klima O., Kleparnik P., Spanel M., Zemcik P. Intensity-based femoral atlas 2D/3D registration using Levenberg-Marquardt optimisation. Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging (SPIE 2016); March 2016; San Diego, CA, USA. p. p. 97880 F. DOI

Kelley C. T. Philadelphia, PA, USA: SIAM; 1999.

Mahfouz M. R., Hoff W. A., Komistek R. D., Dennis D. A. Effect of segmentation errors on 3D-to-2D registration of implant models in X-ray images. 2005;38(2):229–239. doi: 10.1016/j.jbiomech.2004.02.025. PubMed DOI

Seehaus F., Emmerich J., Kaptein B., Windhagen H., Hurschler C. Dependence of model-based RSA accuracy on higher and lower implant surface model quality. 2013;12:p. 32. doi: 10.1186/1475-925x-12-32. PubMed DOI PMC

Nejnovějších 20 citací...

Zobrazit více v
Medvik | PubMed

Simulation of Orbital Fractures Using Experimental and Mathematical Approaches: A Pilot Study

. 2024 May 26 ; 15 (6) : . [epub] 20240526

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...