[Insight-developers] The Insight Journal-New Submission

[Julien Jomier]

Hello,
A new submission has been added to the Insight Journal.

Title: N4ITK:  Nick's N3 ITK Implementation For MRI Bias Field Correction
Author(s):Tustison N., Gee J.
Abstract:
Several algorithms exist for correcting the nonuniform intensity  in 
magnetic resonance images caused by field

inhomogeneities. These algorithms constitute important preprocessing 
steps for subsequent image analysis tasks.  One such algorithm, known as 
parametric bias field correction (PABIC), has already been implemented 
in ITK.  Another popular algorithm is the non-uniform intensity 
normalization (N3) approach.  A particularly advantageous aspect of this 
algorithm is that it does not require a prior tissue model for its 
application.  In addition,  the source code for N3 is publicly available 
at the McConnell Brain Imaging Centre (Montreal Nuerological Institute, 
McGill University) which includes source code and the coordinating set 
of perl scripts. This submission describes an implementation of the N3 
algorithm for the Insight Toolkit which is implemented as a single 
class, viz. N3MRIBiasFieldCorrectionImageFilter.  We tried to maintain 
minimal difference between the publicly available MNI N3 implementation 
and our ITK implementation.  The only intentional variation is the substitut
  ion of an earlier contribution, i.e. the class 
BSplineScatteredDataPointSetToImageFilter, for the originally proposed 
least-squares approach for B-spline fitting used to model the bias 
field.  This avoids the potential for ill-conditioned fitting matrices 
for higher B-spline mesh resolutions.

Download and Review the paper at: 
http://www.insight-journal.org/browse/publication/640