2011
DOI: 10.1007/s11999-010-1766-x
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High-resolution Computed Tomography for Clinical Imaging of Bone Microarchitecture

Abstract: BackgroundThe role of bone structure, one component of bone quality, has emerged as a contributor to bone strength. The application of high-resolution imaging in evaluating bone structure has evolved from an in vitro technology for small specimens to an emerging clinical research tool for in vivo studies in humans. However, many technical and practical challenges remain to translate these techniques into established clinical outcomes.Questions/purposesWe reviewed use of high-resolution CT for evaluating trabec… Show more

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Cited by 233 publications
(160 citation statements)
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References 141 publications
(222 reference statements)
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“…With a small field of view of 10 centimeters, the in plane and through plane spatial resolution can close to 200-500 um, is larger, but close to the trabecular size (100-150 μm) [12].…”
Section: Assessment Of the Trabecular Microarchitecture With Mdctmentioning
confidence: 92%
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“…With a small field of view of 10 centimeters, the in plane and through plane spatial resolution can close to 200-500 um, is larger, but close to the trabecular size (100-150 μm) [12].…”
Section: Assessment Of the Trabecular Microarchitecture With Mdctmentioning
confidence: 92%
“…The high resolution pQCT (HR-pQCT) is primarily installed at major research centers and clinical radiology departments [111][112][113][114]. Using the high spatial resolution image (100 μm or less in pixel size), the resolution obtained is close to or smaller than the average trabecular thickness (100-150 μm) [12]. It can separate the periosteal boundary and segment the cortical and trabecular compartments.…”
Section: Follow-up Time Using the Qctmentioning
confidence: 99%
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“…Medical image analysis is a very topical issue; recently many new methods have been developed for various medical objects and tasks [7]- [9], as well as methods that are intended specifically for a bone structure analysis and osteoporosis [10]- [12]. Most existing medical image processing algorithms are manual or semi-automatic algorithms.…”
Section: Introductionmentioning
confidence: 99%