Advanced Imaging of the Macrostructure and Microstructure of Bone

Noninvasive and/or nondestructive techniques are capable of providing more macro- or microstructural information about bone than standard bone densitometry. Although the latter provides important information about osteoporotic fracture risk, numerous studies indicate that bone strength is only partially explained by bone mineral density. Quantitative assessment of macro- and microstructural features may improve our ability to estimate bone strength. The methods available for quantitatively assessing macrostructure include (besides conventional radiographs) quantitative computed tomography (QCT) and volumetric quantitative computed tomography (vQCT). Methods for assessing microstructure of trabecular bone noninvasively and/or nondestructively include high-resolution computed tomography (hrCT), micro-computed tomography (µCT), high-resolution magnetic resonance (hrMR), and micromagnetic resonance (µMR). vQCT, hrCT and hrMR are generally applicable in vivo; µCT and µMR are principally applicable in vitro. Although considerable progress has been made in the noninvasive and/or nondestructive imaging of the macro- and microstructure of bone, considerable challenges and dilemmas remain. From a technical perspective, the balance between spatial resolution versus sampling size, or between signal-to-noise versus radiation dose or acquisition time, needs further consideration, as do the trade-offs between the complexity and expense of equipment and the availability and accessibility of the methods. The relative merits of in vitro imaging and its ultrahigh resolution but invasiveness versus those of in vivo imaging and its modest resolution but noninvasiveness also deserve careful attention. From a clinical perspective, the challenges for bone imaging include balancing the relative advantages of simple bone densitometry against the more complex architectural features of bone or, similarly, the deeper research requirements against the broader clinical needs. The considerable potential biological differences between the peripheral appendicular skeleton and the central axial skeleton have to be addressed further. Finally, the relative merits of these sophisticated imaging techniques have to be weighed with respect to their applications as diagnostic procedures requiring high accuracy or reliability on one hand and their monitoring applications requiring high precision or reproducibility on the other.

[1]  H. Gundersen,et al.  Quantification of connectivity in cancellous bone, with special emphasis on 3-D reconstructions. , 1993, Bone.

[2]  C. Simmons,et al.  Method‐Based Differences in the Automated Analysis of the Three‐Dimensional Morphology of Trabecular Bone , 1997, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[3]  P. Rüegsegger,et al.  Morphometric analysis of noninvasively assessed bone biopsies: comparison of high-resolution computed tomography and histologic sections. , 1996, Bone.

[4]  U. Bonse,et al.  3D computed X-ray tomography of human cancellous bone at 8 microns spatial and 10(-4) energy resolution. , 1994, Bone and mineral.

[5]  S A Goldstein,et al.  The relationship between the structural and orthogonal compressive properties of trabecular bone. , 1994, Journal of biomechanics.

[6]  W. Hayes,et al.  Mechanical properties of trabecular bone from the proximal femur: a quantitative CT study. , 1990, Journal of computer assisted tomography.

[7]  P Rüegsegger,et al.  Analysis of mechanical properties of cancellous bone under conditions of simulated bone atrophy. , 1996, Journal of biomechanics.

[8]  J. Kinney,et al.  Intermittent treatment with human parathyroid hormone (hPTH[1‐34]) increased trabecular bone volume but not connectivity in osteopenic rats , 1995, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[9]  H. Skinner,et al.  Prediction of femoral fracture load using automated finite element modeling. , 1997, Journal of biomechanics.

[10]  S. Beer,et al.  Strength , 1875, Cybern. Hum. Knowing.

[11]  R. Huiskes,et al.  A new method to determine trabecular bone elastic properties and loading using micromechanical finite-element models. , 1995, Journal of biomechanics.

[12]  P. Rüegsegger,et al.  High-contrast resolution of CT images for bone structure analysis. , 1992, Medical physics.

[13]  Scott N. Hwang,et al.  Probability-based structural parameters from three-dimensional nuclear magnetic resonance images as predictors of trabecular bone strength. , 1997, Medical physics.

[14]  S. Majumdar,et al.  Correlation of Trabecular Bone Structure with Age, Bone Mineral Density, and Osteoporotic Status: In Vivo Studies in the Distal Radius Using High Resolution Magnetic Resonance Imaging , 1997, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[15]  Steven D. Kugelmass,et al.  Quantitative analysis of trabecular microstructure by 400 MHz nuclear magnetic resonance imaging , 1995, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[16]  Martin Heller,et al.  Hochauflösende Darstellung und Quantifizierung der trabekulären Knochenstruktur der Fingerphalangen mit der Magnetresonanztomographie , 1997 .

[17]  P Rüegsegger,et al.  Micro-CT examinations of trabecular bone samples at different resolutions: 14, 7 and 2 micron level. , 1998, Technology and health care : official journal of the European Society for Engineering and Medicine.

[18]  F. Wehrli,et al.  High‐resolution variable flip angle 3D MR imaging of trabecular microstructure in vivo , 1993, Magnetic resonance in medicine.

[19]  Steven D. Kugelmass,et al.  Relationship between NMR transverse relaxation, trabecular bone architecture, and strength. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[20]  H K Genant,et al.  Advanced imaging of bone macro and micro structure. , 1999, Bone.

[21]  M. Ito,et al.  Trabecular texture analysis of CT images in the relationship with spinal fracture. , 1995, Radiology.

[22]  M. Hahn,et al.  High Spatial Resolution Imaging of Bone Mineral Using Computed Microtomography: Comparison with Microradiography and Undecalcified Histologic Sections , 1993, Investigative radiology.

[23]  S. Goldstein,et al.  Evaluation of a microcomputed tomography system to study trabecular bone structure , 1990, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[24]  H K Genant,et al.  Assessment of vertebral bone mineral density using volumetric quantitative CT. , 1999, Journal of computer assisted tomography.

[25]  M. Jergas,et al.  Estimates of volumetric bone density from projectional measurements improve the discriminatory capability of dual X‐ray absorptiometry , 1995, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[26]  S. Majumdar,et al.  High Resolution Magnetic Resonance Imaging of the Calcaneus: Age-Related Changes in Trabecular Structure and Comparison with Dual X-Ray Absorptiometry Measurements , 1997, Calcified Tissue International.

[27]  S. Goldstein,et al.  The direct examination of three‐dimensional bone architecture in vitro by computed tomography , 1989, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[28]  W. Hayes,et al.  Prediction of vertebral body compressive fracture using quantitative computed tomography. , 1985, The Journal of bone and joint surgery. American volume.

[29]  F. Wehrli,et al.  Three‐dimensional nuclear magnetic resonance microimaging of trabecular bone , 1995, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[30]  P. Croucher,et al.  Assessment of cancellous bone structure: Comparison of strut analysis, trabecular bone pattern factor, and marrow space star volume , 1996, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[31]  E L Ritman,et al.  Micro-CT imaging of structure-to-function relationship of bone microstructure and associated vascular involvement. , 1998, Technology and health care : official journal of the European Society for Engineering and Medicine.

[32]  S. Majumdar,et al.  Trabecular Bone Mineral and Calculated Structure of Human Bone Specimens Scanned by Peripheral Quantitative Computed Tomography: Relation to Biomechanical Properties , 1998, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[33]  H. Genant,et al.  Image-Based Assessment of Spinal Trabecular Bone Structure from High-Resolution CT Images , 1998, Osteoporosis International.

[34]  S. Majumdar,et al.  Noninvasive assessment of bone mineral and structure: State of the art , 1996, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[35]  J. Kinney,et al.  In vivo, three‐dimensional microscopy of trabecular bone , 1995, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[36]  H K Genant,et al.  Volumetric quantitative computed tomography of the proximal femur: precision and relation to bone strength. , 1997, Bone.

[37]  H. Song,et al.  Cancellous bone volume and structure in the forearm: noninvasive assessment with MR microimaging and image processing. , 1998, Radiology.

[38]  Bruce H. Hasegawa,et al.  CT-derived finite element models to determine vertebral cortex strength , 1990, Medical Imaging: Image Processing.

[39]  S. Majumdar,et al.  In Vivo High Resolution MRI of the Calcaneus: Differences in Trabecular Structure in Osteoporosis Patients , 1998, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[40]  S. Majumdar,et al.  Evaluation of technical factors affecting the quantification of trabecular bone structure using magnetic resonance imaging. , 1995, Bone.

[41]  K Engelke,et al.  A digital model of trabecular bone , 1996, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[42]  P. Rüegsegger,et al.  In vivo reproducibility of three‐dimensional structural properties of noninvasive bone biopsies using 3D‐pQCT , 1996, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[43]  M. Kleerekoper,et al.  Relationships between surface, volume, and thickness of iliac trabecular bone in aging and in osteoporosis. Implications for the microanatomic and cellular mechanisms of bone loss. , 1983, The Journal of clinical investigation.