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J. C. Lin

Researcher at University of California, San Francisco

Publications -  18
Citations -  2177

J. C. Lin is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Quantitative computed tomography & Bone mineral. The author has an hindex of 14, co-authored 18 publications receiving 2115 citations.

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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.

TL;DR: High resolution magnetic resonance imaging, a potentially useful tool for quantifying trabecular structure in vivo, may have applications for understanding and evaluating skeletal changes related to age and osteoporosis.
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High-Resolution Magnetic Resonance Imaging: Three-Dimensional Trabecular Bone Architecture and Biomechanical Properties

TL;DR: High-resolution magnetic resonance (MR) imaging may be used to assess 3D architecture of trabecular bone, and the inclusion of some of the 3D architectural measures provides an improved assessment of biomechanical properties.
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In Vivo High Resolution MRI of the Calcaneus: Differences in Trabecular Structure in Osteoporosis Patients

TL;DR: High resolution HR MR images of the calcaneus can differentiate between postmenopausal women with and without osteoporotic hip fractures, and morphological parameters and fractal dimension as well as hip BMD are compared.
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Trabecular Bone Architecture in the Distal Radius Using Magnetic Resonance Imaging in Subjects with Fractures of the Proximal Femur

TL;DR: Moves of trabecular architecture derived from MR images combined with BMD measures improve the discrimination between subjects with hip fractures and normal age-matched controls.
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A Comparative Study of Trabecular Bone Properties in the Spine and Femur Using High Resolution MRI and CT

TL;DR: In the MR images, texture measures combined with BMD in a multivariate‐regression model significantly increased R2, while improvement was less significant in the CT images, suggesting texture analysis may provide additional information needed to analyze bone strength and quality.