Evaluation of automated statistical shape model based knee kinematics from biplane fluoroscopy

Journal of Biomechanics

Volumn 47, Issue 1, 2014, Pages 122-129

  Baka, Nora ^a   Kaptein, Bart L ^a   Giphart, J Erik ^b   Staring, Marius ^a   Bruijne, Marleen de ^c,d   Lelieveldt, Boudewijn P F ^a   Valstar, Edward ^a,e  

^a LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^b STEADMAN PHILIPPON RESEARCH INSTITUTE   (United States)

^c ERASMUS MEDICAL CENTER   (Netherlands)

^d UNIVERSITY OF COPENHAGEN   (Denmark)

^e DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

2D 3D reconstruction; Femur; SSM; Tibia; Tracking

Indexed keywords

ANTERIOR POSTERIORS; BIPLANE FLUOROSCOPY; FEMUR; FLUOROSCOPIC SEQUENCES; SHAPE RECONSTRUCTION; SSM; STATISTICAL SHAPE MODEL; TIBIA;

AUTOMATION; BONE; JOINTS (ANATOMY); KINEMATICS; SURFACE DISCHARGES;

PHYSIOLOGICAL MODELS;

ADDUCTION; ARTICLE; AUTOMATION; CADAVER; CONTROLLED STUDY; FEMUR; FIBULA; FLUOROSCOPY; HUMAN; IN VIVO STUDY; JOINT FUNCTION; JOINT MOBILITY; KINEMATICS; KNEE; PRIORITY JOURNAL; ROTATION; STATISTICAL SHAPE MODEL; TIBIA;

2D/3D RECONSTRUCTION; FEMUR; SSM; TIBIA; TRACKING;

AUTOMATIC DATA PROCESSING; BIOMECHANICAL PHENOMENA; FEMUR; FLUOROSCOPY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; KNEE; KNEE JOINT; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; ROTATION; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84890857204     PISSN: 00219290     EISSN: 18732380     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2013.09.022     Document Type: Article

References (44)

1. Anderst W., Zauel R., Bishop J., Demps E., Tashman S. Validation of three-dimensional model-based tibio-femoral tracking during running. Medical Engineering & Physics 2009, 31:10-16.
2. Baka N., de Bruijne M., van Walsum T., Kaptein B., Giphart J., Schaap M., Niessen W., Lelieveldt B. Statistical shape model based femur kinematics from biplane fluoroscopy. IEEE Transactions on Medical Imaging 2012, 31:1573-1583.
3. Baka N., Kaptein B.L., de Bruijne M., van Walsum T., Giphart J.E., Niessen W.J., Lelieveldt B.P.F. 2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models. Medical Image Analysis 2011, 15:840-850.
4. Bey M.J., Kline S.K., Tashman S., Zauel R. Accuracy of biplane x-ray imaging combined with model-based tracking for measuring in-vivo patellofemoral joint motion. Journal of Orthopaedic Surgery and Research 2008, 3:38.
5. Canny J. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 1986, 8:679-698.
6. Chen X., Graham J., Hutchinson C., Muir L. Inferring 3D kinematics of carpal bones from single view fluoroscopic sequences. Medical Image Computing and Computer-Assisted Intervention 2011, 680-687. Springer, Berlin, Heidelberg. G. Fichtinger, A. Martel, T. Peters (Eds.).
7. Cootes T.F., Cooper D.H., Taylor C.J., Graham J. Trainable method of parametric shape description. Image and Vision Computing 1992, 10:289-294.
8. Defrate L.E., Papannagari R., Gill T.J., Moses J.M., Pathare N.P., Li G. The 6 degrees of freedom kinematics of the knee after anterior cruciate ligament deficiency: an in vivo imaging analysis. The American Journal of Sports Medicine 2006, 34:1240-1246.
9. Dennis D.A., Mahfouz M.R., Komistek R.D., Hoff W. In vivo determination of normal and anterior cruciate ligament-deficient knee kinematics. Journal of Biomechanics 2005, 38:241-253.
10. Fleute, M., Lavallée, S., 1999. Nonrigid 3-D/2-D registration of images using statistical models. In: MICCAI'99 - Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer-Verlag, London, UK, pp. 138-147.
11. Fregly B.J., Rahman H.A., Banks S.A. Theoretical accuracy of model-based shape matching for measuring natural knee kinematics with single-plane fluoroscopy. Journal of Biomechanical Engineering 2005, 127:692-699.
12. Gamage, P., Xie, S.Q., Delmas, P., Xu, P., 2009. 3D reconstruction of patient specific bone models from 2D radiographs for image guided orthopedic surgery. In: Proceedings of the 2009 Digital Image Computing: Techniques and Applications. IEEE Computer Society, Washington, DC, USA, pp. 212-216.
13. Garling E.H., Kaptein B.L., Mertens B., Barendregt W., Veeger H.E.J., Nelissen R.G.H.H., Valstar E.R. Soft-tissue artefact assessment during step-up using fluoroscopy and skin-mounted markers. Journal of Biomechanics 2007, 40(Suppl. 1):S18-S24.
14. Giphart, J.E., Shelburne, K.B., Anstett, K., Brunkhorst, J.P., Pault, J.D., Woo, S.L.-Y., Steadman, J.R., Torry, M.R., 2008. Measurement of 3D in vivo knee motion using biplane fluoroscopy: investigation of non-contact ACL injuries. In: Proceedings of the 16th International Conference on Mechanics in Medicine and Biology, pp. 23-25.
15. Giphart J.E., Zirker C.A., Myers C.A., Pennington W.W., Laprade R.F. Accuracy of a contour-based biplane fluoroscopy technique for tracking knee joint kinematics of different speeds. Journal of Biomechanics 2012, 45:2935-2938.
16. Gollmer, S.T., Lachner, R., Buzug, T.M., 2007. Registration algorithm for statistical bone shape reconstruction from radiographs - an accuracy study. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 6376-6379.
17. Grood E.S., Suntay W.J. A joint coordinate system for the clinical description of three-dimensional motions: application to the knee. Journal of Biomechanical Engineering 1983, 105:136-144.
18. Hanson G.R., Suggs J.F., Freiberg A.A., Durbhakula S., Li G. Investigation of in vivo 6DOF total knee arthoplasty kinematics using a dual orthogonal fluoroscopic system. Journal of Orthopaedic Research 2006, 24:974-981.
19. Hirokawa S., Abrar Hossain M., Kihara Y., Ariyoshi S. A 3D kinematic estimation of knee prosthesis using X-ray projection images: clinical assessment of the improved algorithm for fluoroscopy images. Medical & Biological Engineering & Computing 2008, 46:1253-1262.
20. Kitagawa A., Tsumura N., Chin T., Gamada K., Banks S.A., Kurosaka M. In vivo comparison of knee kinematics before and after high-flexion posterior cruciate-retaining total knee arthroplasty. The Journal of Arthroplasty 2010, 25:964-969.
21. Klein S., Staring M., Murphy K., Viergever M.A., Pluim J.P.W. Elastix: a toolbox for intensity-based medical image registration. IEEE Transactions on Medical Imaging 2010, 29:196-205.
22. Laporte S., Skalli W., de Guise J.A., Lavaste F., Mitton D A biplanar reconstruction method based on 2D and 3D contours: application to the distal femur. Computer Methods in Biomechanics and Biomedical Engineering 2003, 6:1-6.
23. Lenz N.M., Mane A., Maletsky L.P., Morton N.A. The effects of femoral fixed body coordinate system definition on knee kinematic description. Journal of Biomechanical Engineering 2008, 130:021014.
24. Li G., Defrate L.E., Rubash H.E., Gill T.J. In vivo kinematics of the ACL during weight-bearing knee flexion. Journal of Orthopaedic Research 2005, 23:340-344.
25. Li G., Van de Velde S.K., Bingham J.T. Validation of a non-invasive fluoroscopic imaging technique for the measurement of dynamic knee joint motion. Journal of Biomechanics 2008, 41:1616-1622.
26. Mahalanobis P.C. On the generalised distance in statistics. Proceedings of the National Institute of Sciences of India 1936, 2(1):49-55.
27. Mahfouz M.R., Hoff W.A., Komistek R.D., Dennis D.A. A robust method for registration of three-dimensional knee implant models to two-dimensional fluoroscopy images. IEEE Transactions on Medical Imaging 2003, 22:1561-1574.
28. Miranda D.L., Rainbow M.J., Leventhal E.L., Crisco J.J., Fleming B.C. Automatic determination of anatomical coordinate systems for three-dimensional bone models of the isolated human knee. Journal of Biomechanics 2010, 43:1623-1626.
29. Moewis P., Wolterbeek N., Diederichs G., Valstar E., Heller M.O., Taylor W.R. The quality of bone surfaces may govern the use of model based fluoroscopy in the determination of joint laxity. Medical Engineering & Physics 2012, 34:1427-1432.
30. Moro-oka T., Hamai S., Miura H., Shimoto T., Higaki H., Fregly B.J., Iwamoto Y., Banks S.A. Can magnetic resonance imaging-derived bone models be used for accurate motion measurement with single-plane three-dimensional shape registration?. Journal of Orthopaedic Research 2007, 25:867-872.
31. Muhit, A.A., Pickering, M.R., Ward, T., Scarvell, J.M., Smith, P.N., 2010. A comparison of the 3D kinematic measurements obtained by single-plane 2D-3D image registration and RSA. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 6288-6291.
32. Nakajima Y., Tashiro T., Sugano N., Yonenobu K., Koyama T., Maeda Y., Tamura Y., Saito M., Tamura S., Mitsuishi M., Sugita N., Sakuma I., Ochi T., Matsumoto Y. Fluoroscopic bone fragment tracking for surgical navigation in femur fracture reduction by incorporating optical tracking of hip joint rotation center. IEEE Transactions on Bio-Medical Engineering 2007, 54:1703-1706.
33. Pickering, M.R., Muhit, A.A., Scarvell, J.M., Smith, P.N., 2009. A new multi-modal similarity measure for fast gradient-based 2D-3D image registration. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5821-5824.
34. Scott, C., Barney Smith, E.H., 2006. An unsupervised fluoroscopic analysis of knee joint kinematics. In: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems., pp. 377-381.
35. Stagni R., Fantozzi S., Cappello A., Leardini A. Quantification of soft tissue artefact in motion analysis by combining 3D fluoroscopy and stereophotogrammetry: a study on two subjects. Clinical Biomechanics (Bristol, Avon) 2005, 20:320-329.
36. Tashman S., Anderst W. In-vivo measurement of dynamic joint motion using high speed biplane radiography and CT: application to canine ACL deficiency. Journal of Biomechanical Engineering 2003, 125:238-245.
37. Tersi L., Barré A., Fantozzi S., Stagni R. In vitro quantification of the performance of model-based mono-planar and bi-planar fluoroscopy for 3D joint kinematics estimation. Medical & Biological Engineering & Computing 2013, 51:257-265.
38. Torry M.R., Myers C., Pennington W.W., Shelburne K.B., Krong J.P., Giphart J.E., Steadman J.R., Woo S.L.-Y. Relationship of anterior knee laxity to knee translations during drop landings: a bi-plane fluoroscopy study. Knee Surgery, Sports Traumatology, Arthroscopy 2011, 19:653-662.
39. Torry M.R., Shelburne K.B., Peterson D.S., Giphart J.E., Krong J.P., Myers C., Steadman J.R., Woo S.L.-Y. Knee kinematic profiles during drop landings: a biplane fluoroscopy study. Medicine and Science in Sports and Exercise 2010, 43:533-541.
40. Tsai T.-Y., Lu T.-W., Chen C.-M., Kuo M.-Y., Hsu H.-C. A volumetric model-based 2D to 3D registration method for measuring kinematics of natural knees with single-plane fluoroscopy. Medical Physics 2010, 37:1273-1284.
41. Whitmarsh T., Humbert L., De Craene M., Del Rio Barquero L.M., Frangi A.F. Reconstructing the 3D shape and bone mineral density distribution of the proximal femur from dual-energy X-ray absorptiometry. IEEE Transactions on Medical Imaging 2011, 30:2101-2114.
42. You B.M., Siy P., Anderst W., Tashman S. In vivo measurement of 3-D skeletal kinematics from sequences of biplane radiographs: application to knee kinematics. IEEE Transactions on Medical Imaging 2001, 20:514-525.
43. Zheng G., Gollmer S., Schumann S., Dong X., Feilkas T., Ballester M.A.G. A 2D/3D correspondence building method for reconstruction of a patient-specific 3D bone surface model using point distribution models and calibrated X-ray images. Medical Image Analysis 2008, 13(6):883-899.
44. Zhu Z., Li G. Construction of 3D human distal femoral surface models using a 3D statistical deformable model. Journal of Biomechanics 2011, 44. (2368-2362).