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
  • the voxel sampling exception can be avoided by cropping the images sharply around the masks.

Fixed Volume as Reference

SimpleITK result after Initialization

SimpleITK result after rigid registration

BRAINSFit result after rigid without using masks and --useCenterOfGeometryAlign

• • The rigid registration result is too much rotated and translated. Also the number of iteration steps varies with every computation. Reason might be that seed is set randomized and not set as done in BRAINSFit here. There is no option at the SimpleITK::ImageRegistrationMethod to set a metric seed.

Things that are not implemented, but need to be implemented

• SimpleITK code for affine registration
  • setting affineOptimizer here
  • setting RegistrationMethod here
• SimpleITK code for BSpline registration (started here)

Unresolved issues out of our direct control

Standing SimpleITK issues

• no API for consistent initialization of the metric seed

Standing ITKv4 issues

• capability to sample voxels only within the mask (see topic under review on Gerrit: http://review.source.kitware.com/#/c/19684/)

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.