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Abstrakty
Analysis of bone strength in radiographic images is an important component of estimation of bone quality in diseases such as osteoporosis. Conventional radiographic femur bone images are used to analyze its architecture using bi-dimensional empirical mode decomposition method. Surface interpolation of local maxima and minima points of an image is a crucial part of bi-dimensional empirical mode decomposition method and the choice of appropriate interpolation depends on specific structure of the problem. In this work, two interpolation methods of bi-dimensional empirical mode decomposition are analyzed to characterize the trabecular femur bone architecture of radiographic images. The trabecular bone regions of normal and osteoporotic femur bone images (N = 40) recorded under standard condition are used for this study. The compressive and tensile strength regions of the images are delineated using pre-processing procedures. The delineated images are decomposed into their corresponding intrinsic mode functions using interpolation methods such as Radial basis function multiquadratic and hierarchical b-spline techniques. Results show that bi-dimensional empirical mode decomposition analyses using both interpolations are able to represent architectural variations of femur bone radiographic images. As the strength of the bone depends on architectural variation in addition to bone mass, this study seems to be clinically useful.
Czasopismo
Rocznik
Tom
Strony
73--80
Opis fizyczny
Bibliogr. 35 poz., rys., tab., wykr.
Twórcy
autor
- Department of Electronics and Communication Engineering, Anna University, India
autor
- Department of Electronics and Communication Engineering, Anna University, India
autor
- Biomedical Engineering Group, Department of Applied Mechanics, India
Bibliografia
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- [2] DEN BUIJS C.J.O., DAESCU D.D., In situ parameter identification of optimal density – elastic modulus relationships in subject-specific finite element models of the proximal femur,Medical Engineering & Physics, 2010, Vol. 33(2), 164–173.
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- [4] McDONALD K., LITTLE J., PEARCY M., ADAM C., Development of a multi-scale finite element model of the osteoporotic lumbar vertebral body for the investigation of apparent level vertebra mechanics and micro-level trabecular mechanics, Medical Engineering & Physics, 2010, Vol. 32, 653–661.
- [5] NIKODEM A., Correlations between structural and mechanical properties of human trabecular femur bone, Acta of Bioengineering and Biomechanics, 2012, Vol. 14(2), 37–46.
- [6] BOEHM H.F., LINK T.M., Bone Imaging: Traditional Techniques and Their Interpretation, Current Osteoporosis Reports, 2004, Vol. 2, 41–46.
- [7] SANTOS L., ROMEU J.C., CANH H., FONSECA J.E., FERNANDES P.R., A quantitative comparison of a bone remodeling model with dual-energy X-ray absorptiometry and analysis of the interindividuam lbiological variability of femoral neck T-score, Journal of Biomechanics, 2010, Vol. 43, 3150–3155.
- [8] WEHRLI F.W., Structural and Functional Assessment of Trabecular and Cortical Bone by Micro Magnetic Resonance Imaging, Journal of Magnetic Resonance Imaging, 2007, Vol. 25, 390 –409.
- [9] LUO G., KINNEY J., KAUFMAN J., HAUPT D., CHIABRERA A., SIFFERT R., Relationship between plain radiographic patterns and three dimensional trabecular architecture in the human calcaneus, Osteoporos Int., 1999, Vol. 9, 339 –345.
- [10] PRAMUDITO J.T., SOEGIJOKO S., MENGKO T.R., MUCHTADI F.I., WACHJUDI R.G., Trabecular Pattern Analysis of Proximal Femur Radiographs for Osteoporosis Detection, J. of Biomedical & Pharmaceutical Engineering, 2007, Vol. 1(1), 45–51.
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- [16] NUNES J.C., BOUAOUNE Y., DELECHELLE E., NIANG O., BUNEL P., Image analysis by bidimensional empirical mode decomposition, Image and Vision Computing, 2003, Vol. 21, 1019–1026.
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- [19] CHRISTOPHER J.J., RAMAKRISHNAN S., Assessment and classification of mechanical strength of human femur trabeculae bone using texture analysis and neural networks, J. Med. Syst., 2007, Vol. 35, 117–122.
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- [21] BHUIYAN S.M.A., KHAN J.F., ATTOH-OKINE N.O., ADHAMI R.R., Study of Bidimensional Empirical Mode Decomposition Method for Various Radial Basis Function Surface Interpolators, IEEE International Conference on Machine Learning and Applications, 2009, 18–23.
- [22] NUNES J.C., BOUAOUNE Y., DELECHELLE E., NIANG O., BUNEL P., Texture analysis based on local analysis of the Bidimensional Empirical Mode Decomposition, Machine Vision and Applications, 2005, Vol. 16, 177–188.
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- [24] LINDERHED A., Variable sampling of the empirical mode decomposition of two-dimensional signals, International Journal of Wavelets, Multiresolution and Information Processing, 2005, Vol. 3, 435–452.
- [25] UDHAYAKUMAR G., SUJATHA C.M., RAMAKRISHNAN S., Analysis of Trabecular Structure in Radiographic Bone Images Using Bi-Dimensional Empirical Mode Decomposition, Biomed. Sci. Inst., 2011, Vol. 47, 82 –87.
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- [31] GREGORY J.S., STEWART A., UNDRILL P.E., REID D.M., ASPDEN R.M., Identification of hip fracture patients from radiographs using Fourier analysis of the trabecular structure: a cross-sectional study, BMC Medical Imaging, 2004, Vol. 4(1), 4.
- [32] LIN J.C., GRAMPP S., LINK T., KOTHARI M., NEWITT D.C., FELSENBERG D., MAJUMDAR S., Fractal Analysis of Proximal Femur Radiographs: Correlation with Biomechanical Properties and Bone Mineral Density, Osteoporos Int., 1999, Vol. 9, 516–524.
- [33] MAJUMDAR S., KOTHARI M., AUGAT P., NEWITT D., LIN J.C., LANG T., LU Y., GENANT H.K., High-resolution magnetic resonance imaging: three-dimensional bone architecture and biomechanical properties, Bone, 1998, Vol. 22, 445–54.
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- [35] SANGEETHA J., CHRISTOPHER J.J., RAMAKRISHNAN S., Wavelet Based Qualitative Assessment of Femur Bone Strength Using Radiographic Imaging, International Journal of Biological and Life Sciences, 2007, Vol. 3(4), 276–279
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d2f88cb6-f4a5-4c89-b7fe-dd41136ac2b7