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CLC number: TP391.4

On-line Access: 2010-07-06

Received: 2009-10-30

Revision Accepted: 2010-05-28

Crosschecked: 2010-06-07

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.7 P.495-503

http://doi.org/10.1631/jzus.C0910658


Multi-affine registration using local polynomial expansion


Author(s):  Yuan-jun Wang, Gunnar Farnebäck, Carl-Fredrik Westin

Affiliation(s):  Digital Medical Research Center, Shanghai Medical School, Fudan University, Shanghai 200032, China, Lab of Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston 02115, MA, USA

Corresponding email(s):   yjwang@bwh.harvard.edu, westin@bwh.harvard.edu

Key Words:  Deformable registration, Polynomial expansion, Least squares, Multi-affine, Normalized convolution


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Yuan-jun Wang, Gunnar Farnebäck, Carl-Fredrik Westin. Multi-affine registration using local polynomial expansion[J]. Journal of Zhejiang University Science C, 2010, 11(7): 495-503.

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Abstract: 
In this paper, we present a non-linear (multi-affine) registration algorithm based on a local polynomial expansion model. We generalize previous work using a quadratic polynomial expansion model. Local affine models are estimated using this generalized model analytically and iteratively, and combined to a deformable registration algorithm. Experiments show that the affine parameter calculations derived from this quadratic model are more accurate than using a linear model. Experiments further indicate that the multi-affine deformable registration method can handle complex non-linear deformation fields necessary for deformable registration, and a faster convergent rate is verified from our comparison experiment.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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Open peer comments: Debate/Discuss/Question/Opinion

<1>

Yuanjun@Fudan University<wyj803@gmail.com>

2010-07-07 14:14:00

In this paper, we developed an accurate, fast image registration algorithm. Welcome peer comments.

Thanks a lot~~

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