DocumentCode :
3206403
Title :
Volume registration based on 3-D phase correlation for tumor motion estimation in 4-D CT
Author :
Xiaoyong Zhang ; Homma, Noriyasu ; Abe, Makoto ; Sugita, Naohiko ; Takai, Yoshiaki ; Narita, Y. ; Yoshizawa, Masamitsu
Author_Institution :
Cyberscience Center, Tohoku Univ., Sendai, Japan
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
5095
Lastpage :
5098
Abstract :
This paper presents a three-dimensional (3-D) volume registration method that uses 3-D phase correlation to estimate the respiration-induced tumor motion in four-dimensional (4-D) thorax computed tomography (CT) for radiation therapy. The proposed method is an extension of 2-D phase correlation method to 3-D volume registration. Given two CT volumes obtained from different respiration stages, the tumor motion is modeled as a translational shift between the volumes. The 3-D phase correlation is obtained from the 3-D inverse Fourier transform of a normalized cross power spectrum of the volumes. The tumor motion along three directions is estimated by locating the highest peak in the 3-D phase correlation. In order to improve the estimation accuracy, we extend the 3-D phase correlation to sub-voxel accuracy. Experimental results demonstrate the effectiveness of the proposed method relative to a conventional 2-D phase correlation-based method.
Keywords :
Fourier transforms; computerised tomography; image registration; inverse transforms; medical image processing; pneumodynamics; radiation therapy; tumours; 3D inverse Fourier transform; 3D phase correlation; 3D volume registration method; 4D CT; conventional 2D phase correlation-based method; four-dimensional thorax computed tomography; normalized cross power spectrum; radiation therapy; respiration-induced tumor motion estimate; three-dimensional volume registration method; tumor motion estimation; Accuracy; Computed tomography; Correlation; Educational institutions; Estimation; Motion estimation; Tumors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610694
Filename :
6610694
Link To Document :
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