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BRAINSFit: Mutual Information Registrations of Whole-Brain 3D Images, Using the Insight Toolkit

Johnson, Hans J, Harris, Gregory, Williams, Kent
university of iowa
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1291
New: Prefer using the following doi: https://doi.org/10.54294/hmb052
Published in The Insight Journal - 2007 July - December.
Submitted by Kent Williams on 2007-10-05T15:22:51Z.

The University of Iowa’s Psychiatric Iowa Neuroimaging Consortium (PINC) has developed a program for mutual information registration of 3D brain imaging data using ITK classes, called BRAINSFit. We have written a helper class, itk::MultiModal3DMutualRegistrationHelper to simplify implementation and testing of different transform representations and optimizers. We have added a transform meeting the ITK standard, itk::ScaleVersor3DTransform. BRAINSFit is based on the registration examples from ITK, but adds new features, including the ability to employ different transform representations and optimization functions. Our goal was to determine best practices for registering 3D rigid multimodal MRI of the human brain. A version of the current program is employed here at PINC daily for automated processing of acquired brain images. This project is managed on the NITRC site. http://www.nitrc.org/projects/multimodereg/ On the NITRC website, you can acquire the latest source code via SVN, or by downloading a compressed file which is generated every night. Binary versions are also available.