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Cited by 6,073

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

N4ITK: Improved N3 Bias Correction

Open access
Tustison, Nicholas J, Avants, Brian B, Cook, Philip A, Yuanjie Zheng, Egan, Alexander, Yushkevich, Paul A, Gee, James C·2010·IEEE Transactions on Medical Imaging
DOI 10.1109/tmi.2010.2046908
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Abstract

A variant of the popular nonparametric nonuniform intensity normalization (N3) algorithm is proposed for bias field correction. Given the superb performance of N3 and its public availability, it has been the subject of several evaluation studies. These studies have demonstrated the importance of certain parameters associated with the B-spline least-squares fitting. We propose the substitution of a recently developed fast and robust B-spline approximation routine and a modified hierarchical optimization scheme for improved bias field correction over the original N3 algorithm. Similar to the N3 algorithm, we also make the source code, testing, and technical documentation of our contribution, which we denote as "N4ITK," available to the public through the Insight Toolkit of the National Institutes of Health. Performance assessment is demonstrated using simulated data from the publicly available Brainweb database, hyperpolarized (3)He lung image data, and 9.4T postmortem hippocampus data.

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Research works printed but not linked: 28

  1. 10.1007/11812715_10 · DOI
  2. ibanez, 2005, The ITK Software Guide
  3. tustison, 2009, N4ITK: Nick's N3 ITK implementation for MRI bias field correction, Insight J
  4. riesenfeld, 1975, Applications of B-Spline Approximation to Geometric Problems of Computer-Aided Design
  5. 10.1093/imamat/10.2.134 · DOI · Paper page
  6. 10.1016/0021-9045(72)90080-9 · DOI · Paper page
  7. 10.1016/0010-4485(94)00018-9 · DOI · Paper page
  8. 10.1109/34.88568 · DOI · Paper page
  9. 10.1073/pnas.52.4.947 · DOI · Paper page
  10. 10.1109/TMI.2005.861015 · doi:10.1109/tmi.2005.861015
  11. 10.1002/jmri.20104 · doi:10.1002/jmri.20104
  12. 10.1016/j.ejrad.2004.08.002 · DOI
  13. 10.1109/TMI.2006.891486 · DOI · Paper page
  14. 10.1016/j.neuroimage.2007.10.026 · DOI
  15. 10.1007/s10334-003-0028-2 · DOI
  16. 10.1006/nimg.2001.0756 · DOI
  17. 10.1109/2945.620490 · DOI · Paper page
  18. 10.1016/j.neuroimage.2009.06.039 · DOI
  19. 10.1155/IJBI/2006/49515 · DOI
  20. tustison, 2005, <formula formulatype="inline"> <tex notation="tex">${n}$</tex></formula>-d <formula formulatype="inline"> <tex notation="tex">${c}^{k}$</tex></formula> b-spline scattered data approximation, Insight J, 1
  21. 10.1016/j.media.2005.09.004 · DOI
  22. hjelle, 0, Approximation of scattered data with multilevel B-splines
  23. 10.1016/j.media.2007.03.001 · DOI
  24. 10.1117/12.467069 · DOI
  25. 10.1109/42.712135 · DOI · Paper page
  26. 10.1016/j.neuroimage.2008.08.042 · DOI
  27. 10.1109/TMI.2006.883453 · DOI · Paper page
  28. 10.1016/j.neuroimage.2006.03.052 · DOI · Paper page

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Items 101–130 of 130

Metadata

Authors
Tustison, N. J., Avants, B. B., Cook, P. A., Zheng, Y., Egan, A., Yushkevich, P. A., & Gee, J. C.
Venue
IEEE Transactions on Medical Imaging
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2010-06
Volume
29
Issue
6
Pages
1310-1320
ISSN
  • 0278-0062 (ISSN-L)
  • 1558-254X
DOI
10.1109/tmi.2010.2046908
OpenAlex
W2117340355
Cited by
6,073
References
1
FWCI
26.17
Type
journal article
Language
en
Open access
green
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)

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