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Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
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Bioengineering
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JoVE Journal Bioengineering
Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

DOI:
10.3791/57178-v

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09:36 min

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March 14, 2018

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,
1The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST), School & Hospital of Stomatology,Wuhan University, 2Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology,Wuhan University

Chapters

  • 00:05Title
  • 00:49Prepare 3D Dataset for Trabecular Analysis
  • 02:52Profiling Analysis Parameters
  • 04:41Trabecular Analysis
  • 06:12Quantifying Simulated Objects, Calibrating the Trabecular Measurements, and Presentation of Data
  • 07:22Results: Trabecular Analysis Using the ImageJ Plugin
  • 08:48Conclusion

Summary

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We present a workflow for segmenting and quantifying trabecular bones for 2D and 3D images based on the bone's outer boundary using an ImageJ plugin. This approach is more efficient and accurate than the current manual hand-contouring approach, and provides layer-by-layer quantifications, which are not available in current commercial software.

Tags

Keywords: Trabecular BoneSegmentationQuantificationImageJ PluginSimulated ObjectsCircleSquareSphereCylinderThresholdCortical BoneNoiseHole DiameterTrabecular Parameter Profiling

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