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Instantaneous Generation of Subject-Specific Finite Element Models of the Hip Capsule.
- Source :
- Bioengineering (Basel); Jan2024, Vol. 11 Issue 1, p37, 17p
- Publication Year :
- 2024
-
Abstract
- Subject-specific hip capsule models could offer insights into impingement and dislocation risk when coupled with computer-aided surgery, but model calibration is time-consuming using traditional techniques. This study developed a framework for instantaneously generating subject-specific finite element (FE) capsule representations from regression models trained with a probabilistic approach. A validated FE model of the implanted hip capsule was evaluated probabilistically to generate a training dataset relating capsule geometry and material properties to hip laxity. Multivariate regression models were trained using 90% of trials to predict capsule properties based on hip laxity and attachment site information. The regression models were validated using the remaining 10% of the training set by comparing differences in hip laxity between the original trials and the regression-derived capsules. Root mean square errors (RMSEs) in laxity predictions ranged from 1.8° to 2.3°, depending on the type of laxity used in the training set. The RMSE, when predicting the laxity measured from five cadaveric specimens with total hip arthroplasty, was 4.5°. Model generation time was reduced from days to milliseconds. The results demonstrated the potential of regression-based training to instantaneously generate subject-specific FE models and have implications for integrating subject-specific capsule models into surgical planning software. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 23065354
- Volume :
- 11
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Bioengineering (Basel)
- Publication Type :
- Academic Journal
- Accession number :
- 175051064
- Full Text :
- https://doi.org/10.3390/bioengineering11010037