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Updated: Aug 1, 2026

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Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
Published on: March 14, 2018
Cancellous bone volume and structure in the forearm: noninvasive assessment with MR microimaging and image processing
1Department of Radiology, University of Pennsylvania Medical Center, Philadelphia 19104, USA.
Radiology
|February 11, 1998
Summary
Magnetic resonance imaging (MRI) can derive cancellous bone structure parameters from the distal radius. These parameters, particularly tubularity and spacing, effectively predict vertebral fracture risk in osteopenia.
Area of Science:
- Biomedical Imaging
- Osteoporosis Research
- Bone Densitometry
Background:
- Osteoporosis poses a significant fracture risk, particularly vertebral fractures.
- Accurate assessment of bone health is crucial for fracture risk prediction.
- Current methods like bone mineral density (BMD) may not fully capture bone's structural integrity.
Purpose of the Study:
- To develop a novel method for quantifying cancellous bone architecture from in vivo MRI of the distal radius.
- To assess the utility of these derived architectural parameters in predicting vertebral fracture status in women with osteopenia.
Main Methods:
- Utilized 3D spin-echo MRI of the distal radius in 36 women.
- Developed a histogram deconvolution method for analyzing cancellous bone structure at limited spatial resolution.
- Quantified parameters including intertrabecular spacing, contiguity, and tubularity (longitudinal alignment).
Main Results:
- Neither BMD nor individual structural parameters significantly correlated with vertebral deformity.
- A combined function of tubularity and longitudinal spacing showed a strong correlation with vertebral deformity fraction (r = .78, P < .005).
Conclusions:
- Histomorphometric parameters of distal radius cancellous bone can be reliably derived from in vivo MRI.
- These MRI-derived parameters are significant predictors of vertebral deformity, offering a promising tool for fracture risk assessment.

