The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration
Open accessAbstract
We present the Spherical Demons algorithm for registering two spherical images. By exploiting spherical vector spline interpolation theory, we show that a large class of regularizors for the modified Demons objective function can be efficiently approximated on the sphere using iterative smoothing. Based on one parameter subgroups of diffeomorphisms, the resulting registration is diffeomorphic and fast. The Spherical Demons algorithm can also be modified to register a given spherical image to a probabilistic atlas. We demonstrate two variants of the algorithm corresponding to warping the atlas or warping the subject. Registration of a cortical surface mesh to an atlas mesh, both with more than 160 k nodes requires less than 5 min when warping the atlas and less than 3 min when warping the subject on a Xeon 3.2 GHz single processor machine. This is comparable to the fastest nondiffeomorphic landmark-free surface registration algorithms. Furthermore, the accuracy of our method compares favorably to the popular FreeSurfer registration algorithm. We validate the technique in two different applications that use registration to transfer segmentation labels onto a new image 1) parcellation of in vivo cortical surfaces and 2) Brodmann area localization in ex vivo cortical surfaces.
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
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Self-citationCortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910
Self-citationA fast diffeomorphic image registration algorithm
Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122
Ordinary Differential Equations
(2017) · Python for Scientists · doi:10.1017/9781108120241.010 · Cited by 7,240
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Self-citation(1990) · Acta Applicandae Mathematicae · doi:10.1007/bf00049574 · Cited by 6,062
Automatically Parcellating the Human Cerebral Cortex
Fischl, B. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhg087 · Cited by 4,253
Self-citationA new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data
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Cited by
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
Self-citationFischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.021 · Cited by 9,526
Self-citationThe organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Self-citationLocal-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI
Schaefer, A., Kong, R., Gordon, E. M., Laumann, T. O., Zuo, X.-N., Holmes, A. J., Eickhoff, S. B., & Yeo, B. T. T. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx179 · Cited by 3,657
Self-citationDeformable medical image registration: a survey
Sotiras, A., Davatzikos, C., & Paragios, N. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2265603 · Cited by 1,587
“The application of the Demons algorithm is not limited to scalar images and has been extended to di usion tensor images [57], multi-channel ones [58] as well as di erent geometries [59].”
Method
Metadata
- Authors
- Yeo, B. T. T., Sabuncu, M. R., Vercauteren, T., Ayache, N., Fischl, B., & Golland, P.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2010-03
- Volume
- 29
- Issue
- 3
- Pages
- 650-668
- ISSN
- 0278-0062 (ISSN-L)
- 1558-254X
- OpenAlex
- W2162376077
- Cited by
- 344
- References
- 57
- FWCI
- 16.86
- Type
- journal article
- Language
- en
- Open access
- green
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