Determination of vertebral and femoral trabecular morphology and stiffness using a flat-panel C-arm-based CT approach

Bone

Volumn 50, Issue 1, 2012, Pages 200-208

  Mulder, Lars ^a   Van Rietbergen, Bert ^a   Noordhoek, Niels J ^b   Ito, Keita ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b PHILIPS HEALTHCARE   (United States)

Author keywords

Bone microstructural analysis; C arm based CT; Mechanical properties; Osteoporosis; Trabecular bone

Indexed keywords

ACCURACY; AGED; ALGORITHM; ANALYTICAL PARAMETERS; ANISOTROPY; ARTICLE; BONE MASS; BONE STRUCTURE; CADAVER; CANCELLOUS BONE; CERVICAL SPINE; CONE BEAM COMPUTED TOMOGRAPHY; FEMALE; FEMUR; FINITE ELEMENT ANALYSIS; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; IN VIVO STUDY; MICRO-COMPUTED TOMOGRAPHY; RIGIDITY; SIGNAL NOISE RATIO; SIMULATION; THORACIC SPINE; TRABECULAR BONE;

AGED; AGED, 80 AND OVER; BONE DENSITY; CADAVER; CERVICAL VERTEBRAE; FEMALE; FEMUR; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; THORACIC VERTEBRAE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 81055137121     PISSN: 87563282     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bone.2011.10.020     Document Type: Article

References (52)

1. NIH consensus development panel on osteoporosis prevention, diagnosis, and therapy. Osteoporosis prevention, diagnosis, and therapy. JAMA 2001, 285:785-795.
2. Stenstrom M., Olander B., Lehto-Axtelius D., Madsen J., Nordsletten L., Carlsson G. Bone mineral density and bone structure parameters as predictors of bone strength: an analysis using computerized microtomography and gastroectomy-induced osteopenia in the rat. J Biomech 2000, 33:289-297.
3. Link T.M., Majumdar S., Lin J.C., Newitt D., Augat P., Ouyang X., et al. A comparative study of trabecular bone properties in the spine and femur using high resolution MRI and CT. J Bone Miner Res 1998, 13:122-132.
4. Wehrli F.W., Gomberg B.R., Saha P.K., Song H.K., Hwang S.N., Snyder P.J. Digital topological analysis of in vivo magnetic resonance microimages of trabecular bone reveals structural implications of osteoporosis. J Bone Miner Res 2001, 16:1520-1531.
5. van Rietbergen B., Weinans H., Huiskes R., Odgaard A. A new method to determine trabecular bone elastic properties and loading using micromechanical finite-element models. J Biomech 1995, 28:69-81.
6. Bevill G., Keaveny T.M. Trabecular bone strength predictions using finite element analysis of micro-scale images at limited spatial resolution. Bone 2009, 44:579-584.
7. Bauer J.S., Kohlmann S., Eckstein F., Mueller D., Lochmüller E.M., Link T.M. Structural analysis of trabecular bone of the proximal femur using multislice computed tomography: a comparison with dual X-ray absorptiometry for predicting biomechanical strength in vitro. Calcif Tissue Int 2006, 78:78-89.
8. Baum T., Carballido-Gamio J., Huber M.B., Müller D., Monetti R., Räth C., et al. Automated 3D trabecular bone structure analysis of the proximal femur - prediction of biomechanical strength by CT and DXA. Osteoporos Int 2010, 21:1553-1564.
9. Liu X.S., Zhang X.H., Sekhon K.K., Adams M.F., McMahon D.J., Bilezikian J.P., et al. High-resolution peripheral quantitative computed tomography can assess microstructural and mechanical properties of human distal tibial bone. J Bone Miner Res 2010, 25:746-756.
10. Cohen A., Dempster D.W., Müller R., Guo X.E., Nickolas T.L., Liu X.S., et al. Assessment of trabecular and cortical architecture and mechanical competence of bone by high-resolution peripheral computed tomography: comparison with transiliac bone biopsy. Osteoporos Int 2010, 21:263-273.
11. Vico L., Zouch M., Amirouche A., Frère D., Laroche N., Koller B., et al. High-resolution pQCT analysis at the distal radius and tibia discriminates patients with wrist and femoral neck fractures. J Bone Miner Res 2008, 23:1741-1750.
12. Boutroy S., van Rietbergen B., Sornay-Rendu E., Munoz F., Bouxsein M., Delmas P. Finite element analysis based on in vivo HR-pQCT images of the distal radius is associated with wrist fracture in postmenopausal women. J Bone Miner Res 2008, 23:392-399.
13. Phan C.M., Matsuura M., Bauer J.S., Dunn T.C., Newitt D., Lochmüller E.M., et al. Trabecular bone structure of the calcaneus: comparison of MR imaging at 3.0 and 1.5 T with microCT as the standard of reference. Radiology 2006, 239:488-496.
14. Mueller T.L., Stauber M., Kohler T., Eckstein F., Müller R., van Lenthe G.H. Non-invasive bone competence analysis by high-resolution pQCT: an in vitro reproducibility study in structural and mechanical properties at the human radius. Bone 2009, 44:364-371.
15. Liu X.S., Zhang X.H., Rajapakse C.S., Wald M.J., Magland J., Sekhon K.K., et al. Accuracy of high-resolution in vivo micro magnetic resonance imaging for measurements of microstructural and mechanical properties of human distal tibial bone. J Bone Miner Res 2010, 25:2039-2050.
16. Magland J.F., Rajapakse C.S., Wright A.C., Acciavatti R., Wehrli F.W. 3D fast spin echo with out-of-slab cancellation: a technique for high-resolution structural imaging of trabecular bone at 7 Tesla. Magn Reson Med 2010, 63:719-727.
17. Wald M.J., Magland J.F., Rajapakse C.S., Wehrli F.W. Structural and mechanical parameters of trabecular bone estimated from in vivo high-resolution magnetic resonance images at 3Tesla field strength. J Magn Reson Imaging 2010, 31:1157-1168.
18. Krug R., Carballido-Gamio J., Burghardt A.J., Kazakia G., Hyun B.H., Jobke B., et al. Assessment of trabecular bone structure comparing magnetic resonance imaging at 3Tesla with high-resolution peripheral quantitative computed tomography ex vivo and in vivo. Osteoporos Int 2008, 19:653-661.
19. Phan C.M., Macklin E.A., Bredella M.A., Dadrich M., Flechsig P., Yoo A.J., et al. Trabecular structure analysis using C-arm CT: comparison with MDCT and flat-panel volume CT. Skeletal Radiol 2011, 40:1065-1072.
20. Issever A.S., Link T.M., Kentenich M., Rogalla P., Schwieger K., Huber M.B., et al. Trabecular bone structure analysis in the osteoporotic spine using a clinical in vivo setup for 64-slice MDCT imaging: comparison to μCT imaging and μFE modeling. J Bone Miner Res 2009, 24:1628-1637.
21. Issever A.S., Link T.M., Kentenich M., Rogalla P., Burghardt A.J., Kazakia G.J., et al. Assessment of trabecular bone structure using MDCT: comparison of 64- and 320-slice CT using HR-pQCT as the reference standard. Eur Radiol 2010, 20:458-468.
22. Bauer J.S., Link T.M., Burghardt A.J., Henning T.D., Mueller D., Majumdar S., et al. Analysis of trabecular bone structure with multidetector spiral computed tomography in a simulated soft-tissue environment. Calcif Tissue Int 2007, 80:366-373.
23. Gupta R., Bartling S.H., Basu S.K., Ross W.R., Becker H., Pfoh A., et al. Experimental flat-panel high-spatial-resolution volume CT of the temporal bone. Am J Neuroradiol 2004, 25:1417-1424.
24. Gupta R., Grasruck M., Suess C., Bertling S.H., Schmidt B., Stierstorfer K., et al. Ultra-high resolution flat-panel volume CT: fundamental principles, design architecture, and system characterization. Eur Radiol 2006, 16:1191-1205.
25. Gupta R., Cheung A.C., Bartling S.H., Lisauskas J., Grasruck M., Leidecker C., et al. Flat-panel volume CT: fundamental principles, technology, and applications. Radiographics 2008, 28:2009-2022.
26. Seibert J.A. Flat-panel detectors: how much better are they?. Pediatr Radiol 2006, 36:173-181.
27. Obenauer S., Dullin C., Alves F., Missbach-Guentner J., Grabbe E., Heuser M. Flat-panel-detector-based volumetric CT: performance evaluation of imaging for skeletal structures of small animals in comparison to multislice CT. Clin Imaging 2007, 31:18-22.
28. Obenauer S., Dullin C., Heuser M. Flat panel detector-based volumetric computed tomography (fpVCT). Invest Radiol 2007, 42:291-296.
29. Obert M., Ahlemeyer B., Baumgart-Vogt E., Traupe H. Flat-panel volumetric computed tomography. A new method for visualizing fine bone detail in living mice. J Comput Assist Tomogr 2005, 29:560-565.
30. Nikolaou K., Flohr T., Stierstorfer K., Becker C.R., Reiser M.F. Flat panel computed tomography of human ex vivo heart and bone specimens: initial experience. Eur Radiol 2005, 15:329-333.
31. Kalender W.A., Kyriakou Y. Flat-detector computed tomography (FD-CT). Eur Radiol 2007, 17:2767-2779.
32. Patel V., Hoffmann K.R., Ionita C.N., Keleshis C., Bednarek D.R., Rudin S. Rotational micro-CT using a clinical C-arm angiography gantry. Med Phys 2008, 35:4757-4764.
33. Patel N.V., Gounis M.J., Wakhloo A.K., Noordhoek N.J., Blijd J., Babic D., et al. Cone beam computed tomography of cerebrovascular stents: experimental optimization and clinical application. Am J Neuroradiol 2011, 32:137-144.
34. Snoeren RM, Söderman M, Kroon JN, Roijers RB, de With PHN, Babic D. High-resolution 3D X-ray imaging of intracranial nitinol stents. Neuroradiology DOI 10.1007/s00234-011-0839-1.
35. Walsh C.J., Phan C.M., Misra M., Bredella M.A., Miller K.K., Fazeli P.K., et al. Women with anorexia nervosa: finite element and trabecular structure analysis by using flat-panel volume CT. Radiology 2010, 257:167-174.
36. Bredella M.A., Misra M., Miller K.K., Madisch I., Sarwar A., Cheung A., et al. Distal radius in adolescent girls with anorexia nervosa: trabecular structure analysis with high-resolution flat-panel volume CT. Radiology 2008, 249:938-946.
37. Cheung A.C., Bredella M.A., Al Khalaf M., Grasruck M., Leidecker C., Gupta R. Reproducibility of trabecular structure analysis using flat-panel volume computed tomography. Skeletal Radiol 2009, 38:1003-1008.
38. Issever A.S., Link T.M., Newitt D., Munoz T., Majumdar S. Interrelationships between 3-T-MRI-derived cortical and trabecular bone structure parameters and quantitative-computed-tomography-derived bone mineral density. Magn Reson Imaging 2010, 28:1299-1305.
39. Diederichs G., Link T.M., Kentenich M., Huber M., Rogalla P., Burghardt A.J., et al. Feasibility of measuring trabecular bone structure of the proximal femur using 64-slice multidetector computed tomography in a clinical setting. Calcif Tissue Int 2008, 83:332-341.
40. Hildebrand T., Rüegsegger P. A new method for the model-independent assessment of thickness in three-dimensional images. J Microsc 1997, 185:67-75.
41. Odgaard A., Gundersen H.J. Quantification of connectivity in cancellous bone, with special emphasis on 3-D reconstructions. Bone 1993, 14:173-182.
42. Hildebrand T., Rüegsegger P. Quantification of bone microarchitecture with the structure model index. Comput Methods Biomech Biomed Engin 1997, 1:15-23.
43. Harrigan T.P., Mann R.W. Characterization of microstructural anisotropy in orthotropic materials using a second rank tensor. J Mater Sci 1984, 19:761-767.
44. Homminga J.J., Huiskes R., van Rietbergen B., Rüegsegger P., Weinans H. Introduction and evaluation of a gray-value voxel conversion technique. J Biomech 2001, 34:513-517.
45. Gibson L.J. The mechanical behaviour of cancellous bone. J Biomech 1985, 18:317-328.
46. Scherf H., Tilgner R. A new high-resolution computed tomography (CT) segmentation method for trabecular bone architectural analysis. Am J Phys Anthropol 2009, 140:39-51.
47. Burghardt A.J., Kazakia G.J., Majumdar S. A local adaptive threshold strategy for high resolution peripheral quantitative computed tomography of trabecular bone. Ann Biomed Eng 2007, 35:1678-1686.
48. Vasilic B., Wehrli F.W. A novel local thresholding algorithm for trabecular bone volume fraction mapping in the limited spatial resolution regime of in vivo MRI. IEEE Trans Med Imaging 2005, 24:1574-1585.
49. Waarsing J.H., Day J.S., Weinans H. An improved segmentation method for in vivo microCT imaging. J Bone Miner Res 2004, 19:1640-1650.
50. Laib A., Rüegsegger P. Comparison of structure extraction methods for in vivo trabecular bone measurements. Comput Med Imaging Graph 1999, 23:69-74.
51. Saha P.K., Wehrli F.W., Gomberg B.R. Fuzzy distance transform: theory, algorithms, and applications. Comput Vis Image Und 2002, 86:171-190.
52. Saha P.K., Wehrli F.W. Measurement of trabecular bone thickness in the limited resolution regime of in vivo MRI by fuzzy distance transform. IEEE Trans Med Imaging 2004, 23:53-62.