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Measuring rib cortical bone thickness and cross section from CT.

Sven A Holcombe1, Eunjoo Hwang1, Brian A Derstine1

  • 1Morphomics Analysis Group, University of Michigan, Ann Arbor, MI, USA.

Medical Image Analysis
|July 22, 2018
PubMed
Summary

This study validates a Cortical Bone Mapping (CBM) algorithm for accurately measuring human rib thickness and structural properties from standard computed tomography (CT) scans. The CBM method significantly reduces measurement errors, enabling better assessment of rib injury risk.

Keywords:
Computed tomographyCortical boneOsteoporosisRib

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Area of Science:

  • Biomedical Engineering
  • Radiology
  • Orthopedics

Background:

  • Assessing human rib structural properties is crucial for understanding injury mechanisms.
  • Clinical-resolution computed tomography (CT) scans are widely available but have limitations in accurately measuring bone thickness and mechanical properties.
  • Previous methods, like histogram-based thresholding, have shown significant errors in rib cross-section analysis.

Purpose of the Study:

  • To evaluate the accuracy of the Cortical Bone Mapping (CBM) algorithm in measuring local cortical bone thickness and obtaining mechanically relevant properties of human rib cross-sections.
  • To compare the performance of CBM using standard clinical CT (clinCT) and high-resolution clinical CT (HRclinCT) against microCT (µCT) data.
  • To validate the CBM method for rib bone analysis, offering a potential tool for clinical applications.

Main Methods:

  • Thirty-four human rib sections were analyzed using clinCT, HRclinCT, and µCT.
  • A Cortical Bone Mapping (CBM) algorithm was applied to clinical-resolution CT images to predict periosteal and endosteal borders.
  • Geometric constraints were used to refine border predictions, and results were compared against µCT-derived measurements.

Main Results:

  • The CBM algorithm demonstrated high accuracy in predicting local cortical bone thickness for both HRclinCT (-0.03±0.17 mm, R²=0.82) and clinCT (-0.05±0.22 mm, R²=0.71).
  • Predictions for total cross-sectional area, cortical shell area, and principal area moment of inertia showed low errors (e.g., -1±5% for total area with clinCT, R²=0.96).
  • The CBM method significantly reduced measurement errors compared to previous histogram-based thresholding techniques.

Conclusions:

  • The Cortical Bone Mapping (CBM) algorithm is a validated and accurate method for quantifying rib structural properties from clinical CT scans.
  • This approach offers substantial improvements in measurement accuracy for cortical bone thickness and mechanical properties of ribs.
  • The widespread availability of clinical CT scans makes CBM a promising tool for individualized and population-level assessments of rib structural integrity and injury risk.