DocumentCode :
3415296
Title :
Super-Resolution Reconstruction of Deformable Tissue from Temporal Sequence of Ultrasound Images
Author :
Zhang, HongMei ; Wan, Mingxi ; Wan, JinJin ; Qin, XuLei
Author_Institution :
Dept. of Biomed. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
Volume :
1
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
337
Lastpage :
342
Abstract :
In this paper, the feasibility of super-resolution reconstruction of the deformable tissue from temporal sequences of ultrasound images is extensively studied. The proposed image observation model integrates the non-rigid motion and imaging formation process into a unified super-resolution frame. To facilitate the motion estimation, Lucas-Kanade optical flow is chosen for non-rigid motion estimation from mathematical point of view. Finally, optical flow based iterative back-projection algorithm is proposed for Super-resolution reconstruction, where flow driven diffusion method is developed to re-estimate the motion in the high-resolution coordinate, yielding accurate dense flow field. The efficiency of the proposed approach is demonstrated by simulated images and ultrasound carotid vessel images. Experimental results are provided and compared with existing super-resolution method, which indicate the proposed approach is highly efficient and promising.
Keywords :
image reconstruction; image resolution; image sequences; medical image processing; motion estimation; Lucas-Kanade optical flow; deformable tissue; flow driven diffusion method; high resolution coordinate; image observation model; imaging formation process; motion estimation; nonrigid motion; nonrigid motion estimation; optical flow based iterative backprojection algorithm; super resolution reconstruction; temporal sequence; ultrasound carotid vessel images; ultrasound images; unified super resolution frame; Adaptive optics; Computer vision; Image motion analysis; Image reconstruction; Image resolution; Optical imaging; Strontium; carotid vessel; non-rigid motion estimation; optical flow; super-resolution; temporal sequence; ultrasound image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.78
Filename :
5656514
Link To Document :
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