Cancellous bone volume and structure in the forearm: noninvasive assessment with MR microimaging and image processing.

Wehrli, Félix W.; Hwang, Scott N.; Ma, Jingfei; Song, Hee Kwon; Ford, John C.; Haddad, John G.

doi:10.1148/radiology.206.2.9457185

Cited by 187 publications

(140 citation statements)

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“…Hwang et al (125) showed on the basis of micro-MRI data obtained in specimens of human trabecular bone that spatial autocorrelation analysis, discussed later in more detail, can provide information on intertrabecular spacing and orientation without the need to resort to binary images. The method is therefore applicable to relatively low-resolution BVF images of the kind obtained in vivo (127). An application to 3D m-MR images from specimens of the distal human radius showed that two structural parameters could explain over 90% of the variation in Young's modulus for uniaxial loading while BVF accounted for 56% only.…”

Section: D Structure Analysismentioning

confidence: 99%

“…A further potential motivation is the study of the structural manifestations of metabolic bone disease such as renal osteodystropy (166). Evidence for these developments is the rapid growth of the clinical literature (8,83,84,127,145,165,(167)(168)(169)(170)(171)(172) and also, to a lesser extent, the increased use of CT to characterize TB (14)(15)(16)(173)(174)(175)(176)(177).…”

Section: Clinical Applications Of Trabecular Bone Microstructural Anamentioning

confidence: 99%

“…There is now clear evidence that the findings from histomorphometry, suggesting that inclusion of structural parameters substantially improves the discrimination of patients with osteoporotic fractures from their unfractured peers, is equally true for measurements obtained in vivo at much lower resolution (83,127,168,169). At least three studies provide compelling evidence for the independent role of architecture as a predictor of bone strength.…”

Section: Clinical Applications Of Trabecular Bone Microstructural Anamentioning

confidence: 99%

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Quantitative MRI for the assessment of bone structure and function

et al. 2006

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Osteoporosis is the most common degenerative disease in the elderly. It is characterized by low bone mass and structural deterioration of bone tissue, leading to morbidity and increased fracture risk in the hip, spine and wrist-all sites of predominantly trabecular bone. Bone densitometry, currently the standard methodology for diagnosis and treatment monitoring, has significant limitations in that it cannot provide information on the structural manifestations of the disease. Recent advances in imaging, in particular MRI, can now provide detailed insight into the architectural consequences of disease progression and regression in response to treatment. The focus of this review is on the emerging methodology of quantitative MRI for the assessment of structure and function of trabecular bone. During the past 10 years, various approaches have been explored for obtaining image-based quantitative information on trabecular architecture. Indirect methods that do not require resolution on the scale of individual trabeculae and therefore can be practiced at any skeletal location, make use of the induced magnetic fields in the intertrabecular space. These fields, which have their origin in the greater diamagnetism of bone relative to surrounding marrow, can be measured in various ways, most typically in the form of R 0 2 , the recoverable component of the total transverse relaxation rate. Alternatively, the trabecular network can be quantified by high-resolution MRI (m-MRI), which requires resolution adequate to at least partially resolve individual trabeculae. Micro-MRI-based structure analysis is therefore technically demanding in terms of image acquisition and algorithms needed to extract the structural information under conditions of limited signal-to-noise ratio and resolution. Other requirements that must be met include motion correction and image registration, both critical for achieving the reproducibility needed in repeat studies. Key clinical applications targeted involve fracture risk prediction and evaluation of the effect of therapeutic intervention.

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Section: D Structure Analysismentioning

confidence: 99%

Section: Clinical Applications Of Trabecular Bone Microstructural Anamentioning

confidence: 99%

Section: Clinical Applications Of Trabecular Bone Microstructural Anamentioning

confidence: 99%

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Quantitative MRI for the assessment of bone structure and function

et al. 2006

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“…Some examples have been given recently (6,7,11); however, they did not employ partial autocorrelation functions to measure anisotropy. We considered the anisotropy of autocorrelation and performed an analysis of MR images of the calcaneus, a non-trivial task due to its very inhomogeneous morphology and the gradient correction necessary for the compensation of the inhomogeneous RF field of the surface coil.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, we developed and improved operatorindependent texture analysis methods. Spatial autocorrelation analysis (SACA) has only rarely been used for image processing up to now (6,7). With respect to osteoporosis, the anisotropy of spatial autocorrelation functions is expected to give promising results, which will be described and discussed in this work.…”

mentioning

confidence: 99%

Autocorrelation analysis of bone structure

Rotter

Berg

Langenberger³

et al. 2001

Magnetic Resonance Imaging

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We propose a method called spatial autocorrelation analysis (SACA) to determine the spatial anisotropy of the trabecular bone in order to investigate osteoporosis. For demonstrating the potential of SACA we first evaluate the method on rectangular, simulated test patterns as a simple model for the anisotropic pore structure of the bone. As a next step towards biomedical application, photographic reference images of human vertebral bone were investigated by SACA. Osteoporotic bone structure could be clearly differentiated from non-osteoporotic sample images. Moreover, for demonstration of the applicability and potential of the method for in vivo characterization of osteoporosis, the microstructure of the human calcaneus was investigated by MR-microimaging on a young healthy male subject and an osteoporotic female. The measurements were performed using a high-field (3T) whole-body MR tomograph equipped with a special, strong head gradient system. The signal was acquired with a surface coil mounted on an in-house-built device for convenient immobilization of the subject's foot. Using a 3D gradient echo sequence a resolution of 0.254 ؋ 0.254 ؋ 2.188 mm 3 was achieved in vivo. Selected images were inverted, gradient corrected for the inhomogeneous but sensitive detection by the surface coil, and subsequently analyzed by SACA. The anisotropy of bone structure detected by SACA is a possible candidate for noninvasive determination of the osteoporotic status, potentially complementing standard bone mineral density measurements. J. Magn. Reson. Imaging 2001;14:87-93.

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Estimating voxel volume fractions of trabecular bone on the basis of magnetic resonance images acquiredin vivo

Hwang

Wehrli

1999

Int. J. Imaging Syst. Technol.

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A method is described for extracting information from images acquired in the limited spatial resolution regime in which the structures to be identified are smaller than the image voxel size. Under these conditions and in the presence of noise, the voxel intensity histogram is monomodal; therefore, segmenting the image with an intensity threshold is inaccurate. The present method, which is applicable to two‐phase materials of discrete intensity, relies on iterative deconvolution to obtain a noiseless histogram. A noiseless image is then generated on the basis of the noiseless histogram and the unprocessed image. In the current work, the method is referred to as bone volume fraction (BVF) mapping, since it has been applied to determine the spatial distribution of trabecular bone. BVF computed from maps generated on the basis of in vivo magnetic resonance images of the human radius has been shown to compare well with bone mineral density (R2 = 0.8). The accuracy and precision of BVF measurements have been further evaluated by using a BVF map of the radius as a gold standard and then adding different levels of noise to generate test images. The results suggest that the error in BVF is <0.01 for SNR > 8. © 1999 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 10, 186–198, 1999

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Cancellous bone volume and structure in the forearm: noninvasive assessment with MR microimaging and image processing.

Abstract: Histomorphometric parameters characterizing cancellous bone in the distal radius can be derived from in vivo MR microimages and are predictive of vertebral deformity.

Cited by 187 publications

References 0 publications

Quantitative MRI for the assessment of bone structure and function

Quantitative MRI for the assessment of bone structure and function

Autocorrelation analysis of bone structure

Estimating voxel volume fractions of trabecular bone on the basis of magnetic resonance images acquiredin vivo

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