Difference between revisions of "BRAINSFit to simpleITK"

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=Current status=
 
=Current status=
  
Registration code on github: here
+
Registration code on github: [https://github.com/PeterBehringer/SimpleITKtraining/blob/master/BRAINSFit_to_sitk_MMI.py here]
  
 
'''Latest update: April 28, 2015'''
 
'''Latest update: April 28, 2015'''
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==Things that are working==
 
==Things that are working==
 
* exhaustive search based initialization procedure implemented and produces good results (cross-correlation metric)
 
* exhaustive search based initialization procedure implemented and produces good results (cross-correlation metric)
* SimpleITK code for rigid+affine registration is done
 
  
 
==Things that are implemented, but are not working==
 
==Things that are implemented, but are not working==
*
+
* SimpleITK code for rigid registration
  
 
==Things that are not implemented, but need to be implemented==
 
==Things that are not implemented, but need to be implemented==
*
+
* SimpleITK code for affine registration
 +
* SimpleITK code for BSpline registration
  
 
=Unresolved issues out of our direct control=
 
=Unresolved issues out of our direct control=

Revision as of 21:58, 28 April 2015

Home < BRAINSFit to simpleITK

Goal

We are developing registration module in Slicer version 4 (which is using ITKv4) for deformable registration of prostate MRI.

We want to develop a SimpleITK prostate registration tool in Slicer4/ITKv4. This Slicer4/ITKv4 registration tool should be functional, accurate and fast (i.e., comparable with the the functionality we had in Slicer3/ITKv3, which has been evaluated previously [1]).

Details on the registration approach

Registration is applied to align preprocedural and intraoperational MR T2 image volumes. We are using masks the prostate for both image data sets. Registration is done using MMI metric with rigid, affine and B-spline stages applied in sequence. In Slicer3/BRAINSFit we use gradient descent for rigid/affine, and LBFGS for B-spline.

Parameters we are using to call BRAINSFit in Slicer 3.6 can be found here.

Sample data can be found here.

Current status

Registration code on github: here

Latest update: April 28, 2015

Things that are working

  • exhaustive search based initialization procedure implemented and produces good results (cross-correlation metric)

Things that are implemented, but are not working

  • SimpleITK code for rigid registration

Things that are not implemented, but need to be implemented

  • SimpleITK code for affine registration
  • SimpleITK code for BSpline registration

Unresolved issues out of our direct control

Standing SimpleITK issues

  • no API for consistent initialization of the metric seed

Standing ITKv4 issues

Standing Slicer4 issues

References

[1] Fedorov A, Tuncali K, Fennessy FM, Tokuda J, Hata N, et al. (2012) Image registration for targeted MRI-guided transperineal prostate biopsy. J Magn Reson Imaging 36: 987–992. Available: http://dx.doi.org/10.1002/jmri.23688.