Feature-based tracking of urethral motion in low-resolution trans-perineal ultrasound
Article [Accepted Manuscript]
Is part ofEngineering in Medicine and Biology Society ; 2011
- Université de Montréal. Faculté de médecine. École de réadaptation
This paper describes a novel algorithm for tracking the motion of the urethra from trans-perineal ultrasound. Our work is based on the structure-from-motion paradigm and therefore handles well structures with ill-defined and partially missing boundaries. The proposed approach is particularly well-suited for video sequences of low resolution and variable levels of blurriness introduced by anatomical motion of variable speed. Our tracking method identifies feature points on a frame by frame basis using the SURF detector/descriptor. Inter-frame correspondence is achieved using nearest-neighbor matching in the feature space. The motion is estimated using a non-linear bi-quadratic model, which adequately describes the deformable motion of the urethra. Experimental results are promising and show that our algorithm performs well when compared to manual tracking.
Jean, Frédéric ; Branzan Albu, Alexandra ; Dumoulin, Chantal (2011) Feature-based tracking of urethral motion in low resolution trans-perineal ultrasound. Engineering in Medicine and Biology Society, 2011, 6639-6642.