IEEE Transactions on Biomedical Engineering · 2003 · 10 citations · 24 references
MedicineAnatomyBiomedical EngineeringBiomedical ImagingDiagnostic ImagingDiagnostic RadiologyBone BiomechanicsBone HealthBone MechanicsBone Quantity AssessmentRadiographic AssessmentThree-dimensional ReconstructionBone MicroarchitectureBone Volume FractionHigh-resolution ImagingTrabecular Bone AnalysisTrabecular Bone ArchitectureTrabecular Bone AssessmentTrabecular Bone MicroarchitectureTrabecular Thickness
Magnetic resonance (MR) imaging has recently been proposed for assessing osteoporosis and predicting fracture risks. However, accurate acquisition techniques and image analysis protocols for the determination of the trabecular bone structure are yet to be defined. The aim of this study was to assess the potential of projection reconstruction (PR) MR microscopy in the analysis of the three-dimensional (3-D) architecture of trabecular bone and in the prediction of its biomechanical properties. High-resolution 3-D PR images (41 x 41 x 82 microm3 voxels) of 15 porcine trabecular bone explants were analyzed to determine the trabecular bone volume fraction (Vv), the mean trabecular thickness (Tb.Th), and the mean trabecular separation (Tb.Sp) using the method of directed secants. These parameters were then compared with those derived from 3-D conventional spin-echo microimages. In both cases, segmentation of the high-resolution images into bone and bone marrow was obtained using a spatial adaptive threshold. The contemporary inclusion of Vv, Tb.Th and 1/Tb.Sp in a multiple regression analysis significantly improved the prediction of Young's modulus (YM). The parameters derived from the PR spin-echo images were found to be stronger predictors of YM (R2 = 0.94, p = 0.004) than those derived from conventional spin-echo images (R2 = 0.79, p = 0.051). Our study indicates that projection reconstruction MR microscopy appears to be more accurate than the conventional Fourier transform method in the quantification of trabecular bone structure and in the prediction of its bioimechanical properties. The proposed PR approach should be readily adaptable to the in vivo MRI studies of osteoporosis.
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The rician distribution of noisy mri data
Hákon Guðbjartsson, Samuel Patz · Magnetic Resonance in Medicine · 1995 · 2.5K citations
A. M. Parfitt, Catharina H. E. Mathews, A. R. Villanueva et al. · Journal of Clinical Investigation · 1983 · 1.5K citations · Full text
Sharmila Majumdar, Harry K. Genant, S. Grampp et al. · Journal of Bone and Mineral Research · 1997 · 438 citations
Medicine, Radiology, Bone Metabolism +16