Geodesic topological analysis of trabecular bone microarchitecture from high‐spatial resolution magnetic resonance images

In vivo assessment of trabecular bone microarchitecture could improve the prediction of fracture risk and the efficacy of osteoporosis treatment and prevention. Geodesic topological analysis (GTA) is introduced as a novel technique to quantify the trabecular bone microarchitecture from high‐spatial resolution magnetic resonance (MR) images. Trabecular bone parameters that quantify the scale, topology, and anisotropy of the trabecular bone network in terms of its junctions are the result of GTA. The reproducibility of GTA was tested with in vivo images of human distal tibiae and radii (n = 6) at 1.5 Tesla; and its ability to discriminate between subjects with and without vertebral fracture was assessed with ex vivo images of human calcanei at 1.5 and 3.0 Tesla (n = 30). GTA parameters yielded an average reproducibility of 4.8%, and their individual areas under the curve (AUC) of the receiver operating characteristic curve analysis for fracture discrimination performed better at 3.0 than at 1.5 Tesla reaching values of up to 0.78 (p < 0.001). Logistic regression analysis demonstrated that fracture discrimination was improved by combining GTA parameters, and that GTA combined with bone mineral density (BMD) allow for better discrimination than BMD alone (AUC = 0.95; p < 0.001). Results indicate that GTA can substantially contribute in studies of osteoporosis involving imaging of the trabecular bone microarchitecture. Magn Reson Med 61:448–456, 2009. © 2009 Wiley‐Liss, Inc.

[1]  S. Majumdar,et al.  Assessment of trabecular bone structure comparing magnetic resonance imaging at 3 Tesla with high-resolution peripheral quantitative computed tomography ex vivo and in vivo , 2008, Osteoporosis International.

[2]  S. Majumdar Magnetic resonance imaging for osteoporosis , 2008, Skeletal Radiology.

[3]  Felix W Wehrli,et al.  In vivo MRI of submillisecond T2 species with two‐dimensional and three‐dimensional radial sequences and applications to the measurement of cortical bone water , 2008, NMR in biomedicine.

[4]  J. Macneil,et al.  Accuracy of high-resolution peripheral quantitative computed tomography for measurement of bone quality. , 2007, Medical engineering & physics.

[5]  S. Majumdar,et al.  In Vivo Determination of Bone Structure in Postmenopausal Women: A Comparison of HR‐pQCT and High‐Field MR Imaging , 2007, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[6]  Dwight G Nishimura,et al.  Using adiabatic inversion pulses for long‐T2 suppression in ultrashort echo time (UTE) imaging , 2007, Magnetic resonance in medicine.

[7]  Thomas M. Link,et al.  The Effects of Geometric and Threshold Definitions on Cortical Bone Metrics Assessed by In Vivo High-Resolution Peripheral Quantitative Computed Tomography , 2007, Calcified Tissue International.

[8]  Steven K Boyd,et al.  Automatic segmentation of cortical and trabecular compartments based on a dual threshold technique for in vivo micro-CT bone analysis. , 2007, Bone.

[9]  G. A. Ladinsky,et al.  Trabecular Structure Quantified With the MRI‐Based Virtual Bone Biopsy in Postmenopausal Women Contributes to Vertebral Deformity Burden Independent of Areal Vertebral BMD , 2007, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[10]  Thomas M. Link,et al.  Fuzzy Logic Structure Analysis of Trabecular Bone of the Calcaneus to Estimate Proximal Femur Fracture Load and Discriminate Subjects with and without Vertebral Fractures using High-Resolution Magnetic Resonance Imaging at 1.5 T and 3 T , 2007, Calcified Tissue International.

[11]  Volker Kuhn,et al.  Sex Differences of Human Trabecular Bone Microstructure in Aging Are Site‐Dependent , 2007, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[12]  F. Wehrli Structural and functional assessment of trabecular and cortical bone by micro magnetic resonance imaging , 2007, Journal of magnetic resonance imaging : JMRI.

[13]  S. Majumdar,et al.  New imaging technologies in the diagnosis of osteoporosis , 2007, Reviews in Endocrine and Metabolic Disorders.

[14]  G. A. Ladinsky,et al.  Noninvasive assessment of bone microarchitecture by MRI , 2006, Current osteoporosis reports.

[15]  A. Wright,et al.  Quantitative MRI for the assessment of bone structure and function , 2006, NMR in biomedicine.

[16]  Sharmila Majumdar,et al.  Characterization of trabecular bone structure from high-resolution magnetic resonance images using fuzzy logic. , 2006, Magnetic resonance imaging.

[17]  Dwight G Nishimura,et al.  Designing long‐T2 suppression pulses for ultrashort echo time imaging , 2006, Magnetic resonance in medicine.

[18]  Sharmila Majumdar,et al.  Clinical utility of microarchitecture measurements of trabecular bone , 2006, Current osteoporosis reports.

[19]  Claude Laurent Benhamou,et al.  Imaging techniques for evaluating bone microarchitecture. , 2006, Joint, bone, spine : revue du rhumatisme.

[20]  D. Newitt,et al.  Effects of Salmon Calcitonin on Trabecular Microarchitecture as Determined by Magnetic Resonance Imaging: Results From the QUEST Study , 2005, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[21]  Punam K. Saha,et al.  A robust method for measuring trabecular bone orientation anisotropy at in vivo resolution using tensor scale , 2004, Pattern Recognit..

[22]  F W Wehrli,et al.  Reproducibility and error sources of micro-MRI-based trabecular bone structural parameters of the distal radius and tibia. , 2004, Bone.

[23]  H Weinans,et al.  Cancellous bone mechanical properties from normals and patients with hip fractures differ on the structure level, not on the bone hard tissue level. , 2002, Bone.

[24]  G. Beaupré,et al.  Interpretation of Calcaneus Dual‐Energy X‐Ray Absorptiometry Measurements in the Assessment of Osteopenia and Fracture Risk , 2000, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[25]  Punam K. Saha,et al.  Topological analysis of trabecular bone MR images , 2000, IEEE Transactions on Medical Imaging.

[26]  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.

[27]  Bidyut Baran Chaudhuri,et al.  3D Digital Topology under Binary Transformation with Applications , 1996, Comput. Vis. Image Underst..

[28]  M. Nevitt,et al.  Vertebral fracture assessment using a semiquantitative technique , 1993, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[29]  Ching Y. Suen,et al.  Thinning Methodologies - A Comprehensive Survey , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[30]  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.

[31]  W. J. Whitehouse The quantitative morphology of anisotropic trabecular bone , 1974, Journal of microscopy.

[32]  M. Jergas,et al.  Accurate assessment of precision errors: How to measure the reproducibility of bone densitometry techniques , 2005, Osteoporosis International.

[33]  0021-972X/05/$15.00/0 The Journal of Clinical Endocrinology & Metabolism 90(12):6508–6515 Printed in U.S.A. Copyright © 2005 by The Endocrine Society doi: 10.1210/jc.2005-1258 In Vivo Assessment of Trabecular Bone Microarchitecture by High-Resolution Peri , 2005 .

[34]  S. Majumdar,et al.  Processing and Analysis of In Vivo High-Resolution MR Images of Trabecular Bone for Longitudinal Studies: Reproducibility of Structural Measures and Micro-Finite Element Analysis Derived Mechanical Properties , 2002, Osteoporosis International.

[35]  Punam K. Saha,et al.  Three-dimensional digital topological characterization of cancellous bone architecture , 2000, Int. J. Imaging Syst. Technol..

[36]  S. Majumdar,et al.  Assessment of trabecular structure using high resolution magnetic resonance imaging. , 1997, Studies in health technology and informatics.

[37]  M. H. Chin,et al.  IEEE International Conference on Bioinformatics and Biomedicine ANALYSIS OF MULTIPLEX GENE EXPRESSION MAPS OBTAINED BY VOXELATION , 2022 .