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Proceedings Paper

Three-dimensional assessment of bone turnover using computed microtomography and laser-scanning confocal microscopy
Author(s): Sven Prevrhal; Yebin Jiang; Jenny Zhao; Harry K. Genant
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Paper Abstract

Objective: Metabolic activity in trabecular bone is an important indicator in the therapy of bone diseases like osteoporosis. It is reflected by the amount of osteoid (young, not yet mineralized bone) and young calcified tissue (YCT). Our aim was to replace standard 2D histomorphometry with a 3D approach for osteoid and YCT measurement. Measurement Methods: Excised lumbar vertebrae of 5 ovariectomized (OVX) and 5 control rats were 3D-scanned with computed micro-tomography ((mu) CT, isotropic spatial resolution 20 micrometer3) and laser scanning confocal microscopy (LSCM, 20X magnification, 1X1X2 micrometer3 spatial resolution). (mu) CT shows trabecular bone structure; LSCM shows osteoid and YCT by fluorescent light. Image Processing Methods: The fraction of bone to tissue volume (BV/TV) and the number of trabeculae (Tb.N) were calculated from globally thresholded (mu) CT images. LSCM images were enhanced using top-hat transform, globally thresholded and morphologically closed. Separate regions were labeled by volume growing. We measured feature volume to background volume ratio and number of features per unit volume. Results and Conclusions: In the specimens obtained from the OVX rats, a significant increase in the volume fractions of osteoid and YCT could be seen. The (mu) CT-LSCM approach presents a significant improvement over time-consuming, standard histomorphometry. The image processing for both modalities could be achieved automatically.

Paper Details

Date Published: 6 June 2000
PDF: 8 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387650
Show Author Affiliations
Sven Prevrhal, Univ. of California/San Francisco (United States)
Yebin Jiang, Univ. of California/San Francisco (United States)
Jenny Zhao, Univ. of California/San Francisco (United States)
Harry K. Genant, Univ. of California/San Francisco (United States)


Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

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