Feature-based tracking of urethral motion in low-resolution trans-perineal ultrasound
Contribuinte(s) |
Faculté de médecine - École de réadaptation |
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Data(s) |
12/01/2017
31/12/1969
12/01/2017
01/12/2011
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Resumo |
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. |
Identificador |
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. 1558-4615 1094-687X 1557-170X http://hdl.handle.net/1866/16375 10.1109/IEMBS.2011.6091637 |
Idioma(s) |
en |
Relação |
Engineering in Medicine and Biology Society;2011 |
Palavras-Chave | #Feature extraction #Ultrasonic imaging #Tracking #Video sequences #Vectors #Transforms #Error analysis |
Tipo |
Article |