• 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