Pose-induced effects of femur and tibia on accuracy of model-based radiostereometric analysis

References

• Bingham J, Li G. 2006. An optimized image matching method for determining in-vivo TKA kinematics with a dual-orthogonal fluoroscopic imaging system. J Biomech Eng.128:588–595.10.1115/1.2205865
   PubMed Web of Science ®Google Scholar
• Canny J. 1986. A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell. PAMI-8:679–698.10.1109/TPAMI.1986.4767851
   Web of Science ®Google Scholar
• Fregly BJ, Sawyer WG, Harman MK, Banks SA. 2005. Computational wear prediction of a total knee replacement from in vivo kinematics. J Biomech. 38:305–314.10.1016/j.jbiomech.2004.02.013
   PubMed Web of Science ®Google Scholar
• Garland M, Heckbert PS. Surface simplification using quadric error metrics. Proceedings of the 24th annual conference on Computer graphics and interactive techniques; 1997. New York (NY): ACM Press/Addison-Wesley Publishing Co.
   Google Scholar
• Hanson GR, Suggs JF, Freiberg AA, Durbhakula S, Li G. 2006. Investigation of in vivo 6DOF total knee arthoplasty kinematics using a dual orthogonal fluoroscopic system. J Orthop Res. 24:974–981.10.1002/jor.20141
   PubMed Web of Science ®Google Scholar
• Hirokawa S, Ariyoshi S, Hossain MA. 2005. A 3D kinematic measurement of knee prosthesis using X-ray projection images (countermeasure to the overlap between the tibial and femoral silhouettes). JSME Int J Ser C. 48:570–576.10.1299/jsmec.48.570
   Web of Science ®Google Scholar
• Hirokawa S, Hossain MA, Kihara Y, Ariyoshi S. 2008. A 3D kinematic estimation of knee prosthesis using X-ray projection images: clinical assessment of the improved algorithm for fluoroscopy images. Med Biol Eng Comput.46:1253–1262.10.1007/s11517-008-0398-8
   PubMed Web of Science ®Google Scholar
• Hsu C-P, Lin S-C, Shih K-S, Huang C-H, Lee C-H. 2014. Predicting 3D pose in partially overlapped X-ray images of knee prostheses using model-based Roentgen stereophotogrammetric analysis (RSA). Med Biol Eng Comput. 52:1061–1071.10.1007/s11517-014-1206-2
   PubMed Web of Science ®Google Scholar
• Hurschler C, Seehaus F, Emmerich J, Kaptein BL, Windhagen H. 2008. Accuracy of model-based RSA contour reduction in a typical clinical application. Clin Orthop Relat R. 466:1978–1986.10.1007/s11999-008-0287-3
   PubMed Web of Science ®Google Scholar
• Hurschler C, Seehaus F, Emmerich J, Kaptein BL, Windhagen H. 2009. Comparison of the model-based and marker-based roentgen stereophotogrammetry methods in a typical clinical setting. J Arthroplasty. Jun;24:594–606.10.1016/j.arth.2008.02.004
   PubMed Web of Science ®Google Scholar
• Kärrholm J. 1989. Roentgen stereophotogrammetry: review of orthopedic applications. Acta Orthop. 60:491–503.10.3109/17453678909149328
   Web of Science ®Google Scholar
• Kärrholm J, Gill R, Valstar E. Radiostereometry (RSA): an accurate tool to assess micromotion of orthopaedic implants. Proceedings of the 53rd Annual Meeting of the Orthopaedic Research Society, San Diego, CA; 2007.
   Google Scholar
• Kaptein B, Valstar E, Stoel B, Rozing P, Reiber J. 2003. A new model-based RSA method validated using CAD models and models from reversed engineering. J Biomech. 36:873–882.10.1016/S0021-9290(03)00002-2
   PubMed Web of Science ®Google Scholar
• Kaptein B, Valstar E, Stoel B, Rozing P, Reiber J. 2004. Evaluation of three pose estimation algorithms for model-based roentgen stereophotogrammetric analysis. Proc Inst Mech Eng, Part H: J Eng Med. 218:231–238.10.1243/0954411041561036
   PubMed Web of Science ®Google Scholar
• Madanat R, Mäkinen TJ, Aro HT, Bragdon C, Malchau H. 2014. Adherence of hip and knee arthroplasty studies to RSA standardization guidelines: a systematic review. Acta Orthop. 85:447–455.10.3109/17453674.2014.934187
   PubMed Web of Science ®Google Scholar
• Mahfouz MR, Hoff WA, Komistek RD, Dennis DA. 2003. A robust method for registration of three-dimensional knee implant models to two-dimensional fluoroscopy images. IEEE Trans Med Imaging. 22:1561–1574.10.1109/TMI.2003.820027
   PubMed Web of Science ®Google Scholar
• Ryd L, Albrektsson B, Carlsson L, Dansgard F, Herberts P, Lindstrand A, Regner L, Toksvig-Larsen S. 1995. Roentgen stereophotogrammetric analysis as a predictor of mechanical loosening of knee prostheses. J Bone Joint Surgery, Br Vol. 77:377–383.
   PubMed Web of Science ®Google Scholar
• Selvik G. 1989. Roentgen stereophotogrammetry: a method for the study of the kinematics of the skeletal system. Acta Orthop. 60:1–51.10.3109/17453678909154184
   Google Scholar
• Shih K-S, Lee C-H, Syu C-B, Lai J-Y, Chen K-J, Lin S-C. 2012. Improvement in the clinical practicability of roentgen stereophotogrammetric analysis (RSA): free from the use of the dual X-ray equipment. Proc Inst Mech Eng, Part H: J Eng Med. 226:766–775.10.1177/0954411912458997
   PubMed Web of Science ®Google Scholar
• Short A, Gill H, Marks B, Waite J, Kellett C, Price A, O’Connor J, Murray D. 2005. A novel method for in vivo knee prosthesis wear measurement. J Biomech. 38:315–322.10.1016/j.jbiomech.2004.02.023
   PubMed Web of Science ®Google Scholar
• Simpson D, Kendrick B, Kaptein B, Price A, Murray D, Gill H. 2010. Development of a model-based Roentgen stereophotogrammetric analysis system to measure polyethylene wear in unicompartmental arthroplasty. Proce Inst Mech Eng, Part H: J Eng Med. 224:1235–1243.10.1243/09544119JEIM812
   PubMed Web of Science ®Google Scholar
• Suggs JF, Hanson GR, Park SE, Moynihan AL, Li G. 2008. Patient function after a posterior stabilizing total knee arthroplasty: cam–post engagement and knee kinematics. Knee Surgery, Sports Traumatology, Arthroscopy. 16:290–296.10.1007/s00167-007-0467-9
   PubMed Web of Science ®Google Scholar
• Syu C-B, Lai J-Y, Chang R-Y, Shih K-S, Chen K-J, Lin S-C. 2012. Automatic model-based roentgen stereophotogrammetric analysis (RSA) of total knee prostheses. J Biomech. 45:164–171.10.1016/j.jbiomech.2011.09.011
   PubMed Web of Science ®Google Scholar
• Syu C-B, Lin S-C, Huang C-Y, Lai J-Y, Shih K-S, Chen K-J. 2012. Improved execution efficiency of model-based roentgen stereophotogrammetric analysis: simplification and segmentation of model meshes. Comput Methods Biomech Biomed Eng. 15:1347–1357.10.1080/10255842.2011.597352
   PubMed Web of Science ®Google Scholar
• Tamaki M, Tomita T, Watanabe T, Yamazaki T, Yoshikawa H, Sugamoto K. 2009. In vivo kinematic analysis of a high-flexion, posterior-stabilized, mobile-bearing knee prosthesis in deep knee bending motion. J Arthroplasty. 24:972–978.10.1016/j.arth.2008.06.012
   PubMed Web of Science ®Google Scholar
• Valstar E, de Jong F, Vrooman H, Rozing P, Reiber J. 2001. Model-based roentgen stereophotogrammetry of orthopaedic implants. J Biomech. 34:715–722.10.1016/S0021-9290(01)00028-8
   PubMed Web of Science ®Google Scholar
• Valstar E, Vrooman H, Toksvig-Larsen S, Ryd L, Nelissen R. 2000. Digital automated RSA compared to manually operated RSA. J Biomech. 33:1593–1599.10.1016/S0021-9290(00)00138-X
   PubMed Web of Science ®Google Scholar
• Valstar ER, Gill R, Ryd L, Flivik G, Borlin N, Karrholm J. 2005. Guidelines for standardization of radiostereometry (RSA) of implants. Acta Orthop. Aug;76:563–572.
   Google Scholar
• van IJsseldijk EA, Harman MK, Luetzner J, Valstar ER, Stoel BC, Nelissen RGHH, Kaptein BL. 2014. Validation of a model-based measurement of the minimum insert thickness of knee prostheses: a retrieval study. Bone Joint Res. Oct;3:289–296.10.1302/2046-3758.310.2000304
   PubMed Web of Science ®Google Scholar
• van IJsseldijk EA, Valstar ER, Stoel BC, de Ridder R, Nelissen RGHH, Kaptein BL. 2014. Measuring polyethylene wear in total knee arthroplasty by RSA: differences between weight-bearing and non-weight-bearing positioning. J Orthop Res. Apr;32:613–617.10.1002/jor.v32.4
   PubMed Web of Science ®Google Scholar