The Effect of Quantitative Computed Tomography Acquisition Protocols on Bone Mineral Density Estimation
Journal of Biomechanical Engineering
|September 11, 2015
Summary
Quantitative computed tomography (QCT) scanning parameters like voltage and reconstruction kernel significantly impact bone mineral density (vBMD) measurements. These variations can affect osteoporosis fracture risk predictions derived from patient-specific finite element (FE) models.
Area of Science:
- Biomedical Engineering
- Radiology
- Orthopedics
Background:
- Osteoporosis is a condition of bone loss and reduced bone strength, increasing fracture risk.
- Patient-specific quantitative computed tomography (QCT) finite element (FE) models are used to predict fractures under physiological loads.
- Accurate material properties for FE models are derived from CT grayscale values converted to volumetric bone mineral density (vBMD).
Purpose of the Study:
- To investigate the influence of CT acquisition and postprocessing settings on vBMD estimation.
- To determine if variations in scanning parameters affect fracture risk prediction in osteoporosis.
Main Methods:
- A rabbit femur and a calibration phantom were scanned using QCT with varying protocols (voltage, current, reconstruction kernel).
- Cortical and cancellous bone regions were segmented to obtain Hounsfield unit (HU) values.
- HU values were converted to vBMD, and the impact of different scanning parameters was analyzed.
Main Results:
- Estimated vBMD was significantly affected by changes in voltage and reconstruction kernel.
- CT scanning current did not show a significant effect on vBMD estimation.
- Different scanning parameters introduced noise variations, potentially impacting fracture risk assessment in small bone regions.
Conclusions:
- CT acquisition protocols introduce significant variability in vBMD measurements.
- Variations in scanning parameters can negatively affect the accuracy of osteoporosis fracture risk prediction using QCT-FE models.
- Standardization of QCT protocols is crucial for reliable vBMD assessment and fracture risk evaluation.
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