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Three-dimensional B-spline-based intersubject nonrigid registration with geodesic closest points constraints

[+] Author Affiliations
Zhijun Zhang

Oregon Health and Science University, School of Medicine, 3181 S.W. Sam Jackson Park Road, Portland, Oregon 97239, United States

Feng Liu

Beijing Information Science and Technology University, Beijing Engineering Research Center of Optoelectronic Information and Instrument, Beijing Key Laboratory of Optoelectronic Measurement Technology, Beijing 100192, China

Fuqin Deng

University of Hong Kong, Department of Electrical and Electronic Engineering, Pokfulam Road, Hong Kong, China

Hungtat Tsui

Chinese University of Hong Kong, Department of Electronic Engineering, Shatin, N.T., Hong Kong, China

J. Electron. Imaging. 23(6), 063001 (Nov 03, 2014). doi:10.1117/1.JEI.23.6.063001
History: Received March 24, 2014; Revised September 3, 2014; Accepted September 29, 2014
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Abstract.  Due to the variance between subjects, there is usually ambiguity in intensity-based intersubject registration. The topological constraint in the brain cortical surface might be violated because of the highly convolved nature of the human cortical cortex. We propose an intersubject brain registration method by combining the intensity and the geodesic closest point-based similarity measurements. Each of the brain hemispheres can be topologically equal to a sphere and a one-to-one mapping of the points on the spherical surfaces of the two subjects can be achieved. The correspondences in the cortical surface are obtained by searching the geodesic closest points in the spherical surface. The corresponding features on the cortical surfaces between subjects are then used as anatomical landmarks for intersubject registration. By adding these anatomical constraints of the cortical surfaces, the intersubject registration results are more anatomically plausible and accurate. We validate our method by using real human datasets. Experimental results in visual inspection and alignment error show that the proposed method performs better than the typical joint intensity- and landmark-distance-based methods.

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Topics

Brain

Citation

Zhijun Zhang ; Feng Liu ; Fuqin Deng and Hungtat Tsui
"Three-dimensional B-spline-based intersubject nonrigid registration with geodesic closest points constraints", J. Electron. Imaging. 23(6), 063001 (Nov 03, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.6.063001


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