BRAINSDemonsWarp - Revision history

Vmagnotta at 15:54, 10 December 2008

2008-12-10T15:54:34Z

Vmagnotta at 15:16, 10 December 2008

2008-12-10T15:16:57Z

Vmagnotta: New page: BrainDemonsWarp is a command line program for image registration by using different methods including Thirion and diffeomorphic demons algorithms. The function takes in a template image an...

2008-12-10T15:16:34Z

New page: BrainDemonsWarp is a command line program for image registration by using different methods including Thirion and diffeomorphic demons algorithms. The function takes in a template image an...

New page

BrainDemonsWarp is a command line program for image registration by using different methods including Thirion and diffeomorphic demons algorithms. The function takes in a template image and a target image along with other optional parameters and registers the template image onto the target image. The resultant deformation fields and metric values can be written to a file. The program uses the Insight Toolkit (www.ITK.org) for all the computations, and can operate on any of the image types supported by that library. This program is based on the [http://www.insight-journal.org/browse/publication/154 Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy] work by Vercauteren et al. Some additional features have been added to the program that may enhance the resulting correspondence between datasets.

'''Progress:'''
#Registration tool has been developed and is currently hosted on the NITRC website
#Initial testing has been performed

'''To Do:'''
#Complete documentation and Insight Journal article documenting the program
#Extend the framework to support vector images allowing for multiple imaging modalities to be used to define the correspondence between subjects.

'''Key Investigators:'''
* University of Iowa: Yongqiang Zhao, Hans Johnson, Madhura Ingalhalikar, Kent Williams, Greg Harris, Vincent Magnotta

'''Figures:'''

'''Usage:'''

'''Links:'''
*[http://www.psychiatry.uiowa.edu University of Iowa Department of Psychiatry]
*[http://mri.radiology.uiowa.edu University of Iowa MRI Center]

'''Papers:'''
*Johnson H, Harris G, Williams K. BRAINSFit: [http://www.nitrc.org/frs/download.php/170/BRAINSFit.pdf Mutual Information Rigid Registrations of Whole-Brain 3D Images, Using the Insight Toolkit].

← Older revision		Revision as of 15:54, 10 December 2008
Line 1:		Line 1:
		+	Back to [[NA-MIC Brains Collaboration]]
		+
		+
		+	'''Summary:'''
	BrainDemonsWarp is a command line program for image registration by using different methods including Thirion and diffeomorphic demons algorithms. The function takes in a template image and a target image along with other optional parameters and registers the template image onto the target image. The resultant deformation fields and metric values can be written to a file. The program uses the Insight Toolkit (www.ITK.org) for all the computations, and can operate on any of the image types supported by that library. This program is based on the [http://www.insight-journal.org/browse/publication/154 Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy] work by Vercauteren et al. Some additional features have been added to the program that may enhance the resulting correspondence between datasets.		BrainDemonsWarp is a command line program for image registration by using different methods including Thirion and diffeomorphic demons algorithms. The function takes in a template image and a target image along with other optional parameters and registers the template image onto the target image. The resultant deformation fields and metric values can be written to a file. The program uses the Insight Toolkit (www.ITK.org) for all the computations, and can operate on any of the image types supported by that library. This program is based on the [http://www.insight-journal.org/browse/publication/154 Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy] work by Vercauteren et al. Some additional features have been added to the program that may enhance the resulting correspondence between datasets.

@@ Line 20: / Line 20: @@
 '''Usage:'''
-−
-−
 '''Links:'''
@@ Line 29: / Line 29: @@
 '''Papers:'''