DocumentCode
1466953
Title
N4ITK: Improved N3 Bias Correction
Author
Tustison, Nicholas J. ; Avants, Brian B. ; Cook, Philip A. ; Zheng, Yuanjie ; Egan, Alexander ; Yushkevich, Paul A. ; Gee, James C.
Author_Institution
Dept. of Radiol., Univ. of Pennsylvania, Philadelphia, PA, USA
Volume
29
Issue
6
fYear
2010
fDate
6/1/2010 12:00:00 AM
Firstpage
1310
Lastpage
1320
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 3He lung image data, and 9.4T postmortem hippocampus data.
Keywords
biomedical MRI; brain; image segmentation; lung; medical image processing; B-spline approximation; B-spline least-squares fitting; N4ITK; bias correction; bias field; hierarchical optimization scheme; image analysis; inhomogeneity; lung image data; nonparametric nonuniform intensity normalization; Approximation algorithms; Availability; Brain modeling; Documentation; Image databases; Lungs; Robustness; Spline; Testing; B -spline approximation; N3; bias field; inhomogeneity; Algorithms; Artifacts; Brain; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2010.2046908
Filename
5445030
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