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Semi-automatic micro-CT segmentation of the midfoot using calibrated thresholds.
Melissa R Requist1,2, Yantarat Sripanich1,3, Andrew C Peterson1
1Department of Orthopaedics, University of Utah, 590 Wakara Way, Salt Lake City, UT, 84108, USA.
International Journal of Computer Assisted Radiology and Surgery
|February 19, 2021
Summary
A new semi-automatic segmentation method improves micro-CT analysis of bone quality in challenging bones like the cuneiforms. This calibrated threshold technique offers reproducible and reliable results for skeletal research.
Area of Science:
- Skeletal biology and imaging analysis.
Background:
- Quantitative micro-computed tomography (micro-CT) analysis is crucial for assessing bone quality in skeletal research.
- Accurate and reliable image segmentation is a prerequisite for quantitative micro-CT analysis.
- Traditional segmentation methods face challenges in bones with low cortical thickness and high curvature, such as the cuneiform bones.
Purpose of the Study:
- To develop and validate a semi-automatic image segmentation method for micro-CT analysis.
- To specifically address the challenges of segmenting bones with low cortical thickness and high curvature, using cuneiform bones as a model.
- To establish a reproducible method for quantitative assessment of bone quality.
Main Methods:
- Comparison of manual and semi-automatic segmentation techniques on micro-CT scans of 24 cadaveric cuneiform specimens.
- Semi-automatic method employed calibrated bone and soft tissue thresholds with Boolean subtraction for edge identification.
- Intra- and inter-rater reliability assessed for the semi-automatic method; mask volume and bone mineral density (BMD) measured and compared.
Main Results:
- Statistically significant differences in mask volume and BMD were observed between manual and semi-automatic methods.
- The semi-automatic method demonstrated excellent intra- and inter-rater reliability for both mask volume and bone density.
- Surface comparison analysis indicated greater accuracy for the semi-automatic method compared to manual segmentation.
Conclusions:
- A novel semi-automatic micro-CT segmentation method utilizing calibrated thresholds was successfully developed.
- This method is particularly effective for segmenting bones with high curvature and low cortical density, outperforming traditional techniques.
- The developed method offers improved accuracy and high reliability, making it suitable for quantitative micro-CT analysis in skeletal research.
