Back to Search
Start Over
Quantitative performance comparison of derivative operators for intervertebral kinematics analysis
- Source :
- MeMeA
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Comparison of derivative operators via quantitative performance analysis is rarely addressed in medical imaging. Indeed, the main application of such operators is the extraction of edges and, since there is no unequivocal definition of edges, the common trend is to identify the best performing operator based on a qualitative match between the extracted edges and the fickle human perception of object boundaries. This study presents an objective comparison of four first-order derivative operators through quantitative analysis of results yielded in a specific task, i.e. a spine kinematics application. Such application is based on a template matching method, which estimates common kinematic parameters of intervertebral segments from an X-ray fluoroscopy sequence of spine motion, by operating on the image derivatives of each frame. Therefore, differences in image derivatives, computed via different derivative operators, may lead to differences in estimated parameters of intervertebral kinematics. The comparison presented in this study focused on the trajectory of the instantaneous center of rotation (ICR) of an intervertebral segment, as it is particularly sensitive even to very small differences in displacements and velocities. Therefore, a quantitative analysis of the discrepancies between the ICR trajectories, obtained with each of the four considered derivative operators, was carried out by defining quantitative measures. The results showed detectable differences in the obtained ICR trajectories, thus highlighting the need for quantitative analysis of derivative operator performances in applications aimed at providing quantitative results. However, the significance level of such differences for clinical applications should be further assessed, but, currently, it is not possible, as there is no consensus and sufficient data on kinematic parameters features associated with specific spinal pathologies.
- Subjects :
- Image derivatives
business.industry
Computer science
Template matching
0206 medical engineering
Pattern recognition
02 engineering and technology
Derivative
Kinematics
Differential operator
020601 biomedical engineering
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Operator (computer programming)
spine kinematics, derivative operators, X-ray imaging, fluoroscopy, quantum noise
Trajectory
Artificial intelligence
business
Instant centre of rotation
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
- Accession number :
- edsair.doi.dedup.....730cf3af5de8030f01b225ef1cc333d0
- Full Text :
- https://doi.org/10.1109/memea49120.2020.9137322