Computed tomography-based joint locations affect calculation of joint moments during gait when compared to scaling approaches

References

• BartelsW, Vander SlotenJ, JonkersI. 2012. Sensitivity analysis of hip joint centre estimation based on three-dimensional CT scans. Comput Methods Biomech Biomed Eng. 15:539–546.
   PubMed Web of Science ®Google Scholar
• BeaulieuML, LamontagneM, BeauléPE. 2010. Lower limb biomechanics during gait do not return to normal following total hip arthroplasty. Gait Posture. 32:269–273.
   PubMed Web of Science ®Google Scholar
• BellAL, PedersenDR, BrandRA. 1990. A comparison of the accuracy of several hip center location prediction methods. J Biomech. 23:617–621.
   PubMed Web of Science ®Google Scholar
• BeslPJ, McKayND. 1992. A method for registration of 3D shapes. IEEE Trans Pattern Anal. 14:239–256.
   Web of Science ®Google Scholar
• BlemkerSS, AsakawaDS, GoldGE, DelpSL. 2007. Image-based musculoskeletal modeling: applications, advances, and future opportunities. J Magn Reson Im. 25:441–451.
   PubMed Web of Science ®Google Scholar
• CappelloA, CappozzoA, La PalombaraPF, LucchettiL, LeardiniA. 1997. Multiple anatomical landmark calibration for optimal bone pose estimation. Hum Mov Sci. 16:259–274.
   Web of Science ®Google Scholar
• CappozzoA, Della CroceU, LeardiniA, ChiariL. 2005. Human movement analysis using stereophotogrammetry. Part 1: theoretical background. Gait Posture. 21:186–196.
   PubMed Web of Science ®Google Scholar
• ChenYT, WangMS. 2004. Three-dimensional reconstruction and fusion for multi-modality spinal images. Comput Med Imaging Graph. 28:21–31.
   PubMed Web of Science ®Google Scholar
• ChurchillDL, IncavoSJ, JohnsonCC, BeynnonBD. 1998. The transepicondylar axis approximates the optimal flexion axis of the knee. Clin Orthop Relat Res. 356:111–118.
   PubMed Web of Science ®Google Scholar
• DaoTT, MarinF, PouletautP, CharleuxF, AufaureP, Ho Ba ThoMC. 2012. Estimation of accuracy of patient-specific musculoskeletal modelling: case study on a post polio residual paralysis subject. Comput Methods Biomech Biomed Eng. 15:745–751.
   PubMed Web of Science ®Google Scholar
• DavisRB, ÕunpuuS, TyburskiD, GageJR. 1991. A gait analysis data collection and reduction technique. Hum Mov Sci. 10:575–587.
   Web of Science ®Google Scholar
• Della CroceU, CappozzoA, KerriganDC. 1999. Pelvis and lower limb anatomical landmark calibration precision and its propagation to bone geometry and joint angles. Med Biol Eng Comp. 37:155–161.
   PubMed Web of Science ®Google Scholar
• Della CroceU, LeardiniA, ChiariL, CappozzoA. 2005. Human movement analysis using stereophotogrammetry. Part 4: assessment of anatomical landmark misplacement and its effects on joint kinematics. Gait Posture. 21:226–237.
   PubMed Web of Science ®Google Scholar
• DelpSL, LoanJP, HoyMG, ZajacFE. 1990. An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures. IEEE Trans Biomed Eng. 37:757–767.
   PubMed Web of Science ®Google Scholar
• GelaudeF, Vander SlotenJ, LauwersB. 2008. Accuracy assessment of CT-based outer surface femur meshes. Comput Aided Surg. 13:188–199.
   PubMed Web of Science ®Google Scholar
• HaraR, SangeuxM, BakerR, McGinleyJ. Forthcoming 2013. Quantification of pelvic soft tissue artifact in multiple static positions. Gait Posture, Available from: http://dx.doi.org/10.1016/j.gaitpost.2013.10.001.
   Web of Science ®Google Scholar
• IwakiH, PinskerovaV, FreemanMAR. 2000. Tibiofemoral movement 1: the shapes and relative movements of the femur and tibia in the unloaded cadaver knee. J Bone Joint Surg Br. 82:1189–1195.
   PubMed Web of Science ®Google Scholar
• JohalP, WilliamsA, WraggP, HuntD, GedroycW. 2005. Tibio-femoral movement in the living knee. A study of weight bearing and non-weight bearing knee kinematics using ‘interventional’ MRI. J Biomech. 38:269–276.
   PubMed Web of Science ®Google Scholar
• KingsleyPC, OlmstedKL. 1948. A study to determine the angle of anteversion of the neck of the femur. J Bone Joint Surg Am. 30:745–751.
   Web of Science ®Google Scholar
• KlausmeierV, LugadeV, JewettBA, CollisDK, ChouLS. 2010. Is there faster recovery with an anterior or anterolateral THA? A pilot study. Clin Orthop Relat Res. 468:533–541.
   PubMed Web of Science ®Google Scholar
• LeardiniA, CappozzoA, CataniF, Toksvig-LarsenS, PetittoA, SforzaV, CassanelliG, GianniniS. 1999. Validation of a functional method for the estimation of hip joint centre location. J Biomech. 32:99–103.
   PubMed Web of Science ®Google Scholar
• LeardiniA, SawachaZ, PaoliniG, IngrossoS, NativoR, BenedettiMG. 2007. A new anatomically based protocol for gait analysis in children. Gait Posture. 26:560–571.
   PubMed Web of Science ®Google Scholar
• LenaertsG, BartelsW, GelaudeF, MulierM, SpaepenA, Van der PerreG, JonkersI. 2009. Subject-specific hip geometry and hip joint centre location affects calculated contact forces at the hip during gait. J Biomech. 42:1246–1251.
   PubMed Web of Science ®Google Scholar
• LinQ, BurdickJW, RimonE. 2000. A stiffness-based quality measure for compliant grasps and fixtures. IEEE Trans Robotic Autom. 16:675–688.
   Google Scholar
• LiodakisE, KenaweyM, DoxastakiI, KrettekC, HaasperC, HankemeierS. 2011. Upright MRI measurement of mechanical axis and frontal plane alignment as a new technique: a comparative study with weight bearing full length radiographs. Skeletal Radiol. 40:885–889.
   PubMed Web of Science ®Google Scholar
• LorensenWE, ClineHE. 1987. Marching cubes: a high resolution 3D surface construction algorithm. ACM SIGGRAPH Comp Graph. 21:163–169.
   Google Scholar
• LuT-W, O'ConnorJJ. 1999. Bone position estimation from skin marker coordinates using global optimisation with joint constraints. J Biomech. 32:129–134.
   PubMed Web of Science ®Google Scholar
• MaxN. 1999. Weights for computing vertex normals from facet normals. J Graph Tools. 4:1–6.
   Google Scholar
• RabuffettiM, BaroniG, FerrarinM, FerrignoG, PedottiA. 2002. Self-marking of anatomical landmarks for on-orbit experimental motion analysis compared to expert direct-marking. Human Mov Sci. 21:439–455.
   PubMed Web of Science ®Google Scholar
• SandozB, LaporteS, SkalliW, MittonD. 2010. Subject-specific body segment parameters' estimation using biplanar X-rays: a feasibility study. Comput Methods Biomech Biomed Eng. 13:649–654.
   PubMed Web of Science ®Google Scholar
• ScheysL, JonkersI, LoeckxD, MaesF, SpaepenA, SuetensP. 2006. Image based musculoskeletal modeling allows personalized biomechanical analysis of gait. In: HardersM, SzékelyG, editors. Biomedical simulation – lecture notes in computer science 4072. Berlin: Springer; p. 58–66.
   Google Scholar
• ScheysL, Van CampenhoutA, SpaepenA, SuetensP, JonkersI. 2008. Personalized MR-based musculoskeletal models compared to rescaled generic models in the presence of increased femoral anteversion: effect on hip moment arm lengths. Gait Posture. 28:358–365.
   PubMed Web of Science ®Google Scholar
• SeidelGK, MarchindaDM, DijkersM, Soutas-LittleRW. 1995. Hip joint center location from palpable bony landmarks—a cadaver study. J Biomech. 28:995–998.
   PubMed Web of Science ®Google Scholar
• ShahAP, StraussJB, KirkMC, ChenSS, KrocTK, ZusagTW. 2009. Upright 3D treatment planning using a vertical CT. Med Dosim. 34:82–86.
   PubMed Web of Science ®Google Scholar
• SimonSR. 2004. Quantification of human motion: gait analysis—benefits and limitations to its application to clinical problems. J Biomech. 37:1869–1880.
   PubMed Web of Science ®Google Scholar
• Soutas-LittleRW. 1998. Gait analysis in the science of rehabilitation. In: DeLisaJA, editor. Motion analysis and biomechanics. Baltimore (MD): Department of Veterans Affairs, Rehabilitation Research and Development Service; p. 49–68.
   Google Scholar
• StagniR, FantozziS, CappelloA. 2006. Propagation of anatomical landmark misplacement to knee kinematics: performance of single and double calibration. Gait Posture. 24:137–141.
   PubMed Web of Science ®Google Scholar
• StiehlJB, AbbottBD. 1995. Morphology of the transepicondylar axis and its application in primary and revision total knee arthroplasty. J Arthroplasty. 10:785–789.
   PubMed Web of Science ®Google Scholar
• SuganoN. 2003. Computer-assisted orthopedic surgery. J Orthop Sci. 8:442–448.
   PubMedGoogle Scholar
• ThelenP, DelinC, FolinaisD, RadierC. 2012. Evaluation of a new low-dose biplanar system to assess lower-limb alignment in 3D: a phantom study. Skeletal Radiol. 41:1287–1293.
   PubMed Web of Science ®Google Scholar
• WatelainE, DujardinF, BabierF, DuboisD, AllardP. 2001. Pelvic and lower limb compensatory actions of subjects in an early stage of hip osteoarthritis. Arch Phys Med Rehabil. 82:1705–1711.
   PubMed Web of Science ®Google Scholar
• WhiteSC, YackHJ, WinterDA. 1989. A three-dimensional musculoskeletal model for gait analysis. Anatomical variability estimates. J Biomech. 22:885–893.
   PubMed Web of Science ®Google Scholar
• YamaguchiGT, ZajacFE. 1989. A planar model of the knee joint to characterize the knee extensor mechanism. J Biomech. 22:1–10.
   PubMed Web of Science ®Google Scholar