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A Sectioning, Coring, and Image Processing Guide for High-Throughput Cortical Bone Sample Procurement and Analysis for Synchrotron Micro-CT

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Volumetric analysis of corticocancellous bones using CT data.

Dietmar Krappinger¹, Astrid von Linde, Ralf Rosenberger

¹Department of Trauma Surgery and Sports Medicine, Medical University Innsbruck, Innsbruck, Austria. Dietmar@Krappinger.eu

Skeletal Radiology

|December 22, 2010

Summary

This study introduces an automated method for analyzing bone volume using CT scans, proving reliable for surgical planning in fracture fixation and cement augmentation.

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Area of Science:

Medical imaging
Orthopedic surgery
Biomedical engineering

Background:

Accurate volumetric analysis of corticocancellous bone is crucial for orthopedic procedures.
Current methods may lack automation and efficiency.
The superior pubic ramus presents a complex anatomical region for volumetric assessment.

Purpose of the Study:

To develop and validate an automated method for volumetric analysis of corticocancellous bone, specifically the superior pubic ramus, using computed tomography (CT) data.
To assess the reliability and accuracy of this automated technique.
To provide a tool for enhanced preoperative planning in orthopedic surgery.

Main Methods:

A Hounsfield unit (HU) thresholding-based "Vessel Tracking" technique was applied to CT scans of 250 patients.
Automated identification of the region of interest based on density gradients to adjacent cortical bone.
Key parameters including centerline length, volume, diameters, and cross-sectional area were automatically calculated.

Main Results:

The automated analysis achieved success in 82.8% of patients without manual adjustments.
Significant differences in centerline length (females) and volume (males) were observed.
High intersite reliability was demonstrated, with minimal differences between left and right sides for various parameters.

Conclusions:

The presented automated method enables efficient and reliable volumetric analysis of corticocancellous bone from CT data.
This technique can provide valuable preoperative information for intramedullary device fixation and percutaneous cement augmentation.
The automation of volumetric analysis enhances precision and potentially reduces surgical planning time.