Title :
Parametric Deformable Block Matching for Ultrasound Imaging
Author :
Basarab, Adrian ; Aoudi, Walid ; Liebgott, Hervé ; Vray, Didier ; Delachartre, Philippe
Author_Institution :
CNRS UMR5220, Lyon
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
This paper investigates motion tracking for ultrasound imaging. The proposed method is adapted to ultrasonic images and uses a bilinear motion model for controlling the local mesh deformation. We use an iterative multi-scale approach which is shown to considerably decrease the estimated motion error when we pass from 1 to 2 iterations. The proposed algorithm is tested in two medical applications. First, we use it to track tissue motion for ultrasound elastography. The second application is related to slow blood flow estimation with high frequency ultrasound imaging. In both cases, our technique considerably improves the quality of the results compared to classical block matching (BM).
Keywords :
biomedical ultrasonics; blood flow measurement; iterative methods; medical image processing; motion estimation; bilinear motion model; blood flow estimation; iterative multiscale approach; local mesh deformation; motion error estimation; motion tracking; parametric deformable block matching; ultrasound elastography; ultrasound imaging; Deformable models; Frequency estimation; Iterative algorithms; Iterative methods; Medical services; Medical tests; Motion control; Motion estimation; Tracking; Ultrasonic imaging; deformable block matching; multi-scale approach; parametric motion modeling; sub-pixel motion estimation; ultrasound imaging;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379184