Publications by authors named "Julia A Szyszko"
Finite element models built from quantitative computed tomography images rely on element-wise mapping of material properties starting from Hounsfield Units (HU), which can be converted into mineral densities upon calibration. While calibration is preferably carried out by scanning a phantom with known-density components, conducting phantom-based calibration may not always be possible. In such cases, a phantomless procedure, where the scanned subject's tissues are used as a phantom, is an interesting alternative.
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- Quantitative computed tomography (QCT)-based models have shown better accuracy in predicting hip fractures compared to traditional bone mineral density methods, but manual femur segmentation from CT images is time-consuming and inconsistent.
- This study proposes a semi-automated segmentation method using bone and joint enhancement filters and graph-cut algorithms, which was tested on 10 subjects and compared to manual segmentation for accuracy.
- The results indicate that the semi-automated method significantly improves segmentation fidelity and reduces time while maintaining similar hip fracture risk assessments, suggesting its potential for large-scale applications and further development of automated techniques.
Background And Objective: When a computational model aims to be adopted beyond research purposes, e.g. to inform a clinical or regulatory decision, trust must be placed in its predictive accuracy.
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