Already purchased this program?
Login to View
This video program is a part of the Premium package:
Feature Drift Resilient Tracking Of The Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion
- IEEE MemberUS $11.00
- Society MemberUS $0.00
- IEEE Student MemberUS $11.00
- Non-IEEE MemberUS $15.00
Feature Drift Resilient Tracking Of The Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion
An analysis of the motion of the common carotid artery (CCA) provides effective indicators for cardiovascular diseases. Here, we propose a method for tracking CCA wall motion from a B-mode ultrasound video sequence. An unscented Kalman filter based on a s
An analysis of the motion of the common carotid artery (CCA) provides effective indicators for cardiovascular diseases. Here, we propose a method for tracking CCA wall motion from a B-mode ultrasound video sequence. An unscented Kalman filter based on a s