Abstract
Motion estimation from digital video is an ill-posed problem that requires a regularization approach. Regularization introduces a smoothness constraint that can reduce the resolution of the velocity estimates. The problem is further complicated for ultrasound videos (US), where speckle noise levels can be significant. Motion estimation using optical flow models requires the modification of several parameters to satisfy the optical flow constraint as well as the level of imposed smoothness. Furthermore, except in simulations or mostly unrealistic cases, there is no ground truth to use for validating the velocity estimates. This problem is present in all real video sequences that are used as input to motion estimation algorithms. It is also an open problem in biomedical applications like motion analysis of US of carotid artery (CA) plaques. In this paper, we study the problem of obtaining reliable ultrasound video motion estimates for atherosclerotic plaques for use in clinical diagnosis. A global optimization framework for motion parameter optimization is presented. This framework uses actual carotid artery motions to provide optimal parameter values for a variety of motions and is tested on ten different US videos using two different motion estimation techniques.
Original language | English |
---|---|
Title of host publication | Medical Imaging 2010 - Ultrasonic Imaging, Tomography, and Therapy |
Volume | 7629 |
DOIs | |
Publication status | Published - 2010 |
Event | Medical Imaging 2010 - Ultrasonic Imaging, Tomography, and Therapy - San Diego, CA, United States Duration: 14 Feb 2010 → 15 Feb 2010 |
Other
Other | Medical Imaging 2010 - Ultrasonic Imaging, Tomography, and Therapy |
---|---|
Country/Territory | United States |
City | San Diego, CA |
Period | 14/02/10 → 15/02/10 |
Keywords
- carotid artery plaques
- global optimization
- Motion estimation
- ultrasound videos