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Refinement of the method used to determine surgical class based on the shape of the carotis syphon
Key Investigators
- Attila Tanács (University of Szeged, Hungary)
- Attila Nagy (University of Szeged, Hungary)
- Ferenc Dezső Bakó (University of Szeged, Hungary)
Project Description
This is an ongoing project from last year.
Stroke is a leading cause of death worldwide of which ischaemic stroke is the more common. Mechanical thrombectomy involves inserting a catheter into the cerebral vasculature to remove blood clot. Catheter devices with different parameters are available to perform the procedure of which the correct one must be selected beforehand to avoid blockage. Clinical experience suggests that large lumen aspiration catheters were most commonly stuck at the anterior curvature of the carotid syphon.
We categorised 53 studies into four groups. Previously, we extracted nine features based on vessel geometry for classification purposes.
Objective
- Our main objective is to refine the extracted attribute values in order to enhance the classification results.
- Vessel segmentation is also part of the process that is performed manually currently. We are trying to make it automatic.
Approach and Plan
- Using Weka, figure out what features and classification method provide the best result.
- We plan to gather CT and ground truth data for MONAI Auto3dSeg segmentation training.
Progress and Next Steps
No response
Illustrations
Background and References
No response