标题:A deformable image registration algorithm using NURBS
作者:Wang, Jingjing ;Wang, Hongjun ;Yin, Yong
作者机构:[Wang, Jingjing ] College of Physics and Electronic Science, Shandong Normal University, Jinan, China;[Yin, Yong ] Department of Radiation Oncology, S 更多
通讯作者:Wang, H
来源:International Journal of Digital Content Technology and its Applications
出版年:2012
卷:6
期:10
页码:70-77
DOI:10.4156/jdcta.vol6.issue10.9
关键词:Image registration; Image-guided radiotherapy; KV CBCT; Multi-scale geometric analysis; NURBS; Steerable pyramid; The contour-based MI algorithm
摘要:Non-rigid image registration is an interesting and challenging research work in medical image processing, computer vision and remote sensing fields. In order to increase the registration accuracy, this paper designs a composite registration algorithm of a rigid transform and free form deformation. Because NURBS (Non-uniform Rational B Spline) with a non-uniform grid has a higher registration precision and a higher registration speed in comparison with B spline, this paper presents a free form deformation algorithm based on NURBS. On the basis of common similarity metric algorithms, this paper proposes a new MI (mutual information) arithmetic based on the matched region contour. We use snake model to extract the matched region contour in the contour-based MI algorithm. This algorithm combines gray level information of pixels with anatomical information. In consideration of the translation-invariant and rotation-invariant characters of steerable pyramid, we use steerable pyramid to decompose image in multi-scale geometric analysis. In our experiment we give the multi-scale rigid translation results and the experimental results of the NURBS based FFD method quantitatively. The results show that this algorithm improves highly the registration precision.
收录类别:EI;SCOPUS
Scopus被引频次:4
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862735802&doi=10.4156%2fjdcta.vol6.issue10.9&partnerID=40&md5=c7313933aa6934ce266c49bb83f320d3
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