Slicer3:Registration - Revision history

Grundlett: Text replacement - "https?:\/\/www.slicer.org\/slicerWiki\/index.php\/([^ ]+) " to "https://www.slicer.org/wiki/$1"

2019-11-27T14:52:50Z

Text replacement - "https?:\/\/www.slicer.org\/slicerWiki\/index.php\/([^ ]+) " to "https://www.slicer.org/wiki/$1"

Grundlett: Text replacement - "\[http:\/\/www\.slicer\.org\/slicerWiki\/index\.php\/([^ ]+) ([^]]+)]" to "$2"

2019-11-27T02:24:32Z

Text replacement - "\[http:\/\/www\.slicer\.org\/slicerWiki\/index\.php\/([^ ]+) ([^]]+)]" to "$2"

Inorton at 11:08, 23 March 2011

2011-03-23T11:08:21Z

Meier: /* Registration Work in Progress */

2010-12-21T22:24:17Z

Registration Work in Progress

Meier: /* Find Registration Method by Category: looking for..... */

2010-06-30T13:11:51Z

Find Registration Method by Category: looking for.....

Meier: /* Auxilary Modules for Registration */

2010-05-17T14:16:41Z

Auxilary Modules for Registration

Meier: /* Auxilary Modules for Registration */

2010-05-14T22:07:29Z

Auxilary Modules for Registration

Meier: /* Auxilary Modules for Registration */

2010-05-14T22:05:34Z

Auxilary Modules for Registration

Meier: /* Auxilary Modules for Registration */

2010-05-14T21:59:28Z

Auxilary Modules for Registration

Meier at 21:47, 14 May 2010

2010-05-14T21:47:52Z

@@ Line 115: / Line 115: @@
 |The [[Modules:SubtractImages-Documentation-3.6|'''Subtract Images''']] Module can be used to evaluate registration quality, particularly of intra-subject intra-modality cases.
 |-
-|align="center" |[[Image:Registration_CheckerBoard_icon.png| 100px |link=http://www.slicer.org/slicerWiki/index.php/Modules:CheckerboardFilter-Documentation-3.6]]
+|align="center" |[[Image:Registration_CheckerBoard_icon.png| 100px |link=https://www.slicer.org/wiki/Modules:CheckerboardFilter-Documentation-3.6]]|align="center" |[[Image:Registration_ModelXform_icon.png| 100px |link=Modules:ModelTransform-Documentation-3.6]]
 |align="center" |[[Image:Registration_DTIresample_icon.png| 100px |link=Modules:ResampleDTIVolume-Documentation-3.6]]
 |-

@@ Line 132: / Line 132: @@
 = Further Registration Links & Work in Progress =
-*[http://www.slicer.org/slicerWiki/index.php/Slicer-3-6-FAQ '''Registration FAQ''']
+*[[Slicer-3-6-FAQ|'''Registration FAQ''']]
 *[http://na-mic.org/Wiki/index.php/Projects:RegistrationDocumentation Registration Enhancement: Documentation & User Support]
 *[http://na-mic.org/Wiki/index.php/Projects:RegistrationImprovement Registration Enhancement: New Algorithms & GUI Revisions]
 *[[Slicer3:RegistrationLinks|Links to old/obsolete Registration pages (Slicer & NA-MIC)]]
 *[[Registration:Resampling]]

@@ Line 67: / Line 67: @@
 |-
 |The [[Modules:BRAINSDemonWarp|'''BRAINSDemonWarp''' ]] Module performs automated registration of brain MRI based on an optic flow mechanism. Deformations here are significantly more "fluid" (i.e. have more DOF and are less constrained) than for the nonrigid BSpline method.
-|The [[Modules:BRAINSFit| '''BAINSfit''']] Module performs rigid to affine to nonrigid alignment of '''brain''' images with many options such as masking support, automated masking and multi-run pipelines.
+|The [[Modules:BRAINSFit| '''BRAINSfit''']] Module performs rigid to affine to nonrigid alignment of '''brain''' images with many options such as masking support, automated masking and multi-run pipelines.
 |The [[Modules:Plastimatch|'''Plastimatch''']] Module performs automated registration of images from rigid to affine to non-rigid. As a unique feature it provides non-rigid deformation from fiducials, which can be used to "edit/repair" a registration.
 |-

@@ Line 131: / Line 131: @@
 |}
-= Registration Work in Progress =
+= Further Registration Links & Work in Progress =
 *[http://na-mic.org/Wiki/index.php/Projects:RegistrationDocumentation Registration Enhancement: Documentation & User Support]
 *[http://na-mic.org/Wiki/index.php/Projects:RegistrationImprovement Registration Enhancement: New Algorithms & GUI Revisions]
 *[[Slicer3:RegistrationLinks|Links to old/obsolete Registration pages (Slicer & NA-MIC)]]
 *[[Registration:Resampling]]

@@ Line 17: / Line 17: @@
 |align="center" |[[Image:Registration_HLogo_Datatype.png|135px |link=Registration:Categories#Datatype]]
 |align="center" |[[Image:Registration_HLogo_Brain.png|135px |link=Registration:Categories#Brain]]
 |-
 | See [[Registration:Categories#Speed |here]] if registration '''speed''' is mission-critical.
@@ Line 23: / Line 24: @@
 | See [[Registration:Categories#Datatype|here]]  to choose by datatype (image, surface, points).
 | See [[Registration:Categories#Brain|here]]  for Brain-specific registration modules.
 |}

@@ Line 114: / Line 114: @@
 |-
 |align="center" |[[Image:Registration_CheckerBoard_icon.png| 100px |link=http://www.slicer.org/slicerWiki/index.php/Modules:CheckerboardFilter-Documentation-3.6]]
-|align="center" |[[Image:Registration_ModelXform_icon.png| 100px |link=Modules:ModelTransform-Documentation-3.6#Module_Name]]
+|align="center" |[[Image:Registration_ModelXform_icon.png| 100px |link=Modules:ModelTransform-Documentation-3.6]]
 |align="center" |[[Image:Registration_DTIresample_icon.png| 100px |link=Modules:ResampleDTIVolume-Documentation-3.6]]
 |-
 |The [[Modules:CheckerboardFilter-Documentation-3.6|'''Checkerboard Filter''']] can be used to evaluate registration quality. It generates an alternating pattern showing elements of both images. Useful to check non-rigid registration by evaluating the continuity of edges and other high-contrast features.
-|The [[Modules:ModelTransform-Documentation-3.6#Module_Name|'''Model Transform''']] module moves surface models according to an input transform
+|The [[Modules:ModelTransform-Documentation-3.6|'''Model Transform''']] module moves surface models according to an input transform
 |The [[Modules:ResampleDTIVolume-Documentation-3.6|'''DTI Resample''']] Module is used to apply a given transform to the DTI tensor data. '''Do not''' resample vector or tensor data with routines meant for scalar data. A special resampling algorithm is required to properly align such multi-dimensional data.
 |}

@@ Line 88: / Line 88: @@
 |align="center" |[[Image:Registration_DataModule.png| 100px |link=Modules:Data-Documentation-3.6]]
 |align="center" |[[Image:Registration_EDitor_icon.png| 100px |link=Modules:Editor-Documentation-3.6]]
-|align="center" |[[Image:SkullStripping_icon.png| 100px |link=http://www.na-mic.org/Wiki/index.php/2009_Summer_Project_Week_Skull_Stripping|Skull Stripping]]
+|align="center" |[[Image:SkullStripping_icon.png| 100px |link=Modules:SkullStripperModule]]
+|
 |-

@@ Line 83: / Line 83: @@
 |-
 |See the [[Registration:Resampling|'''Resampling''']] portal for an overview of available resampling methods, including tools to resample in place (e.g. change resolution or voxel anisotropy etc.)
-|The [[Modules:ROIModule-Documentation-3.6|ROI Volume]] can be used to define a local box region to be considered exclusively for automated registration. Registration modules that do not support ROIs directly, use the [[Modules:CropVolume-Documentation-3.6|CropVolume]] module.
+|The [[Modules:ROIModule-Documentation-3.6|'''ROI module''']] can be used to define a local box region to be considered exclusively for automated registration. Registration modules that do not support ROIs directly, use the [[Modules:CropVolume-Documentation-3.6|CropVolume]] module.
-|The [[Modules:CropVolume-Documentation-3.6|CropVolume]] module can be used to extract a box region as a new volume and thus focus registration on a region of interest. Use this if registration of entire FOV fails due to too much "distracting" image content.
+|The [[Modules:CropVolume-Documentation-3.6|'''Crop Volume''']] module can be used to extract a box region as a new volume and thus focus registration on a region of interest. Use this if registration of entire FOV fails due to too much "distracting" image content.
 |-
 |align="center" |[[Image:Registration_DataModule.png| 100px |link=Modules:Data-Documentation-3.6]]
@@ Line 91: / Line 91: @@
+|
 |-
-|The [[Modules:Data-Documentation-3.6|Data Module]] is used to apply transforms on the fly to one or more volumes, to resample and concatenate transforms. Interaction is by drag & drop of nodes in the tree and via a right-mouse click context menu, e.g.  to apply  a transform.
+|The [[Modules:Data-Documentation-3.6|'''Data Module''']] is used to apply transforms on the fly to one or more volumes, to resample and concatenate transforms. Interaction is by drag & drop of nodes in the tree and via a right-mouse click context menu, e.g.  to apply  a transform.
-|The [[Modules:Editor-Documentation-3.6|Interactive Editor]] can be used to create or edit ROI regions that can be used as mask input to the automated registration. It contains interactive thresholding and other segmentation methods, and various forms of morphological processing.
+|The [[Modules:Editor-Documentation-3.6|'''Interactive Editor''']] can be used to create or edit ROI regions that can be used as mask input to the automated registration. It contains interactive thresholding and other segmentation methods, and various forms of morphological processing.
-|The [[Modules:SkullStripperModule|'''Skull Stripping'''] Extension Module automatically builds a mask of the brain from an input MRI image (T1w is best). This is an extension module and needs to be installed via the Extension manager.
+|The [[Modules:SkullStripperModule|'''Skull Stripping''']] Extension Module automatically builds a mask of the brain from an input MRI image (T1w is best). This is an extension module and needs to be installed via the Extension manager.
 |-
 |align="center" |[[Image:Registration_OtsuThreshold_icon.png| 100px |link=Modules:OtsuThreshold-Documentation-3.6]]
@@ Line 100: / Line 100: @@
+|
 |-
-|The [[Modules:OtsuThreshold-Documentation-3.6|Otsu's Segmentation Module]] can also be used to automatically generate a registration ROI/mask by  identifying your main image object from the background. For more controlled mask building use the threshold and editing functions in the Interactive Editor.
+|The [[Modules:OtsuThreshold-Documentation-3.6|'''Otsu's Segmentation''' module]] can also be used to automatically generate a registration ROI/mask by  identifying your main image object from the background. For more controlled mask building use the threshold and editing functions in the Interactive Editor.
-|The [[Modules:MaskImage-Documentation-3.6|Mask Image Module]] can be used to apply a mask and create a new volume with all unwanted structure removed. Use this approach if your registration method of choice does not (yet) support direct masking as part of the input parameters.
+|The [[Modules:MaskImage-Documentation-3.6|'''Mask Image''' module]] can be used to apply a mask and create a new volume with all unwanted structure removed. Use this approach if your registration method of choice does not (yet) support direct masking as part of the input parameters.
-|The [[Modules:Fiducials-Documentation-3.6|Fiducials Module]] is used to place fiducial pairs that can be used to run Fiducial-based registration (e.g. AC-PC alignment or FiducialRegistration above) or to evaluate registration quality.
+|The [[Modules:Fiducials-Documentation-3.6|'''Fiducials Module''']] is used to place fiducial pairs that can be used to run Fiducial-based registration (e.g. AC-PC alignment or FiducialRegistration above) or to evaluate registration quality.
 |-
 |align="center" |[[Image:Registration_Resample_icon.png| 100px |link=Modules:ResampleVolume-Documentation-3.6]]
@@ Line 109: / Line 109: @@
+|
 |-
-|The [[Modules:ResampleVolume-Documentation-3.6|Resample Volume]] Module can be used to apply a given transform to a volume, with specific interpolation settings (linear, nearest neighbor and five flavors of sinc).
+|The [[Modules:ResampleVolume-Documentation-3.6|'''Resample Volume''']] Module can be used to apply a given transform to a volume, with specific interpolation settings (linear, nearest neighbor and five flavors of sinc).
 |The [[Modules:ResampleScalarVectorDWIVolume-Documentation-3.6|'''Resample Scalar/Vector/DWI Volume''']] Module (Francois Budin)  implements image and vector-image resampling through the use of ITK Transforms (rigid, affine, BSpline). Note: DTI volumes are handled by a separate module (see below).
-|The [[Modules:SubtractImages-Documentation-3.6|Subtract Images]] Module can be used to evaluate registration quality, particularly of intra-subject intra-modality cases.
+|The [[Modules:SubtractImages-Documentation-3.6|'''Subtract Images''']] Module can be used to evaluate registration quality, particularly of intra-subject intra-modality cases.
 |-
 |align="center" |[[Image:Registration_CheckerBoard_icon.png| 100px |link=http://www.slicer.org/slicerWiki/index.php/Modules:CheckerboardFilter-Documentation-3.6]]
@@ Line 117: / Line 117: @@
 |align="center" |[[Image:Registration_DTIresample_icon.png| 100px |link=Modules:ResampleDTIVolume-Documentation-3.6]]
 |-
-|The [[Modules:CheckerboardFilter-Documentation-3.6|Checkerboard Filter]] can be used to evaluate registration quality. It generates an alternating pattern showing elements of both images. Useful to check non-rigid registration by evaluating the continuity of edges and other high-contrast features.
+|The [[Modules:CheckerboardFilter-Documentation-3.6|'''Checkerboard Filter''']] can be used to evaluate registration quality. It generates an alternating pattern showing elements of both images. Useful to check non-rigid registration by evaluating the continuity of edges and other high-contrast features.
-|The [[Modules:ModelTransform-Documentation-3.6#Module_Name|Model Transform]] module moves surface models according to an input transform
+|The [[Modules:ModelTransform-Documentation-3.6#Module_Name|'''Model Transform''']] module moves surface models according to an input transform
-|The [[Modules:ResampleDTIVolume-Documentation-3.6|DTI Resample]] Module is used to apply a given transform to the DTI tensor data. '''Do not''' resample vector or tensor data with routines meant for scalar data. A special resampling algorithm is required to properly align such multi-dimensional data.
+|The [[Modules:ResampleDTIVolume-Documentation-3.6|'''DTI Resample''']] Module is used to apply a given transform to the DTI tensor data. '''Do not''' resample vector or tensor data with routines meant for scalar data. A special resampling algorithm is required to properly align such multi-dimensional data.
 |}

@@ Line 79: / Line 79: @@
 {|  cellpadding="6" cellspacing="2"
 |align="center" |[[Image:Resampling_DecisionMatrix.png| 100px |link=Registration:Resampling]]
-|align="center" |[[Image:Registration_ROI_icon.png|100px|link=Modules:ROIModule-Documentation-3.4]]
+|align="center" |[[Image:Registration_ROI_icon.png|100px|link=Modules:ROIModule-Documentation-3.6]]
-|align="center" |[[Image:SubvolumeExraction_icon.png‎| 100px |link=Modules:ExtractSubvolumeROI-Documentation-3.5]]
+|align="center" |[[Image:SubvolumeExraction_icon.png‎| 100px |link=Modules:CropVolume-Documentation-3.6]]
 |-
 |See the [[Registration:Resampling|'''Resampling''']] portal for an overview of available resampling methods, including tools to resample in place (e.g. change resolution or voxel anisotropy etc.)
@@ Line 86: / Line 86: @@
 |The [[Modules:CropVolume-Documentation-3.6|CropVolume]] module can be used to extract a box region as a new volume and thus focus registration on a region of interest. Use this if registration of entire FOV fails due to too much "distracting" image content.
 |-
-|align="center" |[[Image:Registration_DataModule.png| 100px |link=Modules:Data-Documentation-3.4]]
+|align="center" |[[Image:Registration_DataModule.png| 100px |link=Modules:Data-Documentation-3.6]]
-|align="center" |[[Image:Registration_EDitor_icon.png| 100px |link=Modules:Editor-Documentation-3.4]]
+|align="center" |[[Image:Registration_EDitor_icon.png| 100px |link=Modules:Editor-Documentation-3.6]]
 |align="center" |[[Image:SkullStripping_icon.png| 100px |link=http://www.na-mic.org/Wiki/index.php/2009_Summer_Project_Week_Skull_Stripping|Skull Stripping]]
+|
 |-
-|The [[Modules:Data-Documentation-3.4|Data Module]] is used to apply transforms on the fly to one or more volumes, to resample and concatenate transforms. Interaction is by drag & drop of nodes in the tree and via a right-mouse click context menu, e.g.  to apply  a transform.
+|The [[Modules:Data-Documentation-3.6|Data Module]] is used to apply transforms on the fly to one or more volumes, to resample and concatenate transforms. Interaction is by drag & drop of nodes in the tree and via a right-mouse click context menu, e.g.  to apply  a transform.
-|The [[Modules:Editor-Documentation-3.4|Interactive Editor]] can be used to create or edit ROI regions that can be used as mask input to the automated registration. It contains interactive thresholding and other segmentation methods, and various forms of morphological processing.
+|The [[Modules:Editor-Documentation-3.6|Interactive Editor]] can be used to create or edit ROI regions that can be used as mask input to the automated registration. It contains interactive thresholding and other segmentation methods, and various forms of morphological processing.
-|The [http://www.na-mic.org/Wiki/index.php/2009_Summer_Project_Week_Skull_Stripping Skull Stripping] Extension Module automatically builds a mask of the brain from an input MRI image (T1w is best). This is an extension module and needs to be installed via the Extension manager.
+|The [[Modules:SkullStripperModule|'''Skull Stripping'''] Extension Module automatically builds a mask of the brain from an input MRI image (T1w is best). This is an extension module and needs to be installed via the Extension manager.
 |-
-|align="center" |[[Image:Registration_OtsuThreshold_icon.png| 100px |link=Modules:OtsuThreshold-Documentation-3.4]]
+|align="center" |[[Image:Registration_OtsuThreshold_icon.png| 100px |link=Modules:OtsuThreshold-Documentation-3.6]]
-|align="center" |[[Image:MaskImage_Module_icon.png| 100px |link=Modules:MaskImage-Documentation-3.5]]
+|align="center" |[[Image:MaskImage_Module_icon.png| 100px |link=Modules:MaskImage-Documentation-3.6]]
-|align="center" |[[Image:Registration_Fiducials.png| 100px |link=Modules:Fiducials-Documentation-3.4]]
+|align="center" |[[Image:Registration_Fiducials.png| 100px |link=Modules:Fiducials-Documentation-3.6]]
+|
 |-
-|The [[Modules:OtsuThreshold-Documentation-3.4|Otsu's Segmentation Module]] can also be used to automatically generate a registration ROI/mask by  identifying your main image object from the background. For more controlled mask building use the threshold and editing functions in the Interactive Editor.
+|The [[Modules:OtsuThreshold-Documentation-3.6|Otsu's Segmentation Module]] can also be used to automatically generate a registration ROI/mask by  identifying your main image object from the background. For more controlled mask building use the threshold and editing functions in the Interactive Editor.
-|The [[Modules:MaskImage-Documentation-3.5|Mask Image Module]] can be used to apply a mask and create a new volume with all unwanted structure removed. Use this approach if your registration method of choice does not (yet) support direct masking as part of the input parameters.
+|The [[Modules:MaskImage-Documentation-3.6|Mask Image Module]] can be used to apply a mask and create a new volume with all unwanted structure removed. Use this approach if your registration method of choice does not (yet) support direct masking as part of the input parameters.
-|The [[Modules:Fiducials-Documentation-3.4|Fiducials Module]] is used to place fiducial pairs that can be used to run Fiducial-based registration (e.g. AC-PC alignment or FiducialRegistration above) or to evaluate registration quality.
+|The [[Modules:Fiducials-Documentation-3.6|Fiducials Module]] is used to place fiducial pairs that can be used to run Fiducial-based registration (e.g. AC-PC alignment or FiducialRegistration above) or to evaluate registration quality.
 |-
-|align="center" |[[Image:Registration_Resample_icon.png| 100px |link=Modules:ResampleVolume-Documentation-3.4]]
+|align="center" |[[Image:Registration_Resample_icon.png| 100px |link=Modules:ResampleVolume-Documentation-3.6]]
-|align="center" |[[Image:Registration_Resample_icon.png| 100px |link=Modules:ResampleVolume2-Documentation-3.4]]
+|align="center" |[[Image:Registration_Resample_icon.png| 100px |link=Modules:ResampleScalarVectorDWIVolume-Documentation-3.6]]
-|align="center" |[[Image:Registration_Subtraction_icon.png| 100px |link=Modules:SubtractImages-Documentation-3.4]]
+|align="center" |[[Image:Registration_Subtraction_icon.png| 100px |link=Modules:SubtractImages-Documentation-3.6]]
+|
 |-
-|The [[Modules:ResampleVolume-Documentation-3.4|Resample Volume]] Module can be used to apply a given transform to a volume, with specific interpolation settings (linear, nearest neighbor and five flavors of sinc).
+|The [[Modules:ResampleVolume-Documentation-3.6|Resample Volume]] Module can be used to apply a given transform to a volume, with specific interpolation settings (linear, nearest neighbor and five flavors of sinc).
-|The [[Modules:ResampleVolume2-Documentation-3.4|Resample Volume2]] Module (Francois Budin)  implements image and vector-image resampling through the use of ITK Transforms (rigid, affine, BSpline).
+|The [[Modules:ResampleScalarVectorDWIVolume-Documentation-3.6|'''Resample Scalar/Vector/DWI Volume''']] Module (Francois Budin)  implements image and vector-image resampling through the use of ITK Transforms (rigid, affine, BSpline). Note: DTI volumes are handled by a separate module (see below).
-|The [[Modules:SubtractImages-Documentation-3.4|Subtract Images]] Module can be used to evaluate registration quality, particularly of intra-subject intra-modality cases.
+|The [[Modules:SubtractImages-Documentation-3.6|Subtract Images]] Module can be used to evaluate registration quality, particularly of intra-subject intra-modality cases.
 |-
-|align="center" |[[Image:Registration_CheckerBoard_icon.png| 100px |link=http://www.slicer.org/slicerWiki/index.php/Modules:CheckerboardFilter-Documentation-3.4 Checkerboard Filter]]
+|align="center" |[[Image:Registration_CheckerBoard_icon.png| 100px |link=http://www.slicer.org/slicerWiki/index.php/Modules:CheckerboardFilter-Documentation-3.6]]
 |align="center" |[[Image:Registration_ModelXform_icon.png| 100px |link=Modules:ModelTransform-Documentation-3.6#Module_Name]]
-|align="center" |[[Image:Registration_DTIresample_icon.png| 100px |link=Modules:ResampleDTIVolume-Documentation-3.4]]
+|align="center" |[[Image:Registration_DTIresample_icon.png| 100px |link=Modules:ResampleDTIVolume-Documentation-3.6]]
 |-
-|The [http://www.slicer.org/slicerWiki/index.php/Modules:CheckerboardFilter-Documentation-3.4 Checkerboard Filter] can be used to evaluate registration quality. It generates an alternating pattern showing elements of both images. Useful to check non-rigid registration by evaluating the continuity of edges and other high-contrast features.
+|The [[Modules:CheckerboardFilter-Documentation-3.6|Checkerboard Filter]] can be used to evaluate registration quality. It generates an alternating pattern showing elements of both images. Useful to check non-rigid registration by evaluating the continuity of edges and other high-contrast features.
 |The [[Modules:ModelTransform-Documentation-3.6#Module_Name|Model Transform]] module moves surface models according to an input transform
-|The [[Modules:ResampleDTIVolume-Documentation-3.4|DTI Resample]] Module is used to apply a given transform to the DTI tensor data. '''Do not''' resample vector or tensor data with routines meant for scalar data. A special resampling algorithm is required to properly align such multi-dimensional data.
+|The [[Modules:ResampleDTIVolume-Documentation-3.6|DTI Resample]] Module is used to apply a given transform to the DTI tensor data. '''Do not''' resample vector or tensor data with routines meant for scalar data. A special resampling algorithm is required to properly align such multi-dimensional data.
 |}

@@ Line 60: / Line 60: @@
 |The [[Modules:PythonSurfaceICPRegistration-Documentation-3.6|'''Surface Registration''' ]] Module performs automated registration of surfaces (not images). This is useful if image data directly is unreliable, but surfaces can be produced from segmentations that provide good information about desired alignment.
 |-
-|align="center" |[[Image:Registration_Demons_icon.png|135px|link= Modules:BRAINSDemonWarp]]
+|align="center" |[[Image:Registration_BRAINSdemonwarp.png|135px|link= Modules:BRAINSDemonWarp]]
-|align="center" |[[Image:Registration_HAMMER_icon.png|135px|link= Modules:HammerRegistration ]]
+|align="center" |[[Image:Registration_BRAINSfit.png|135px|link= Modules:BRAINSFit ]]
 |align="center" |[[Image:Plastimatch_icon.png|135px|link=Modules:Plastimatch]]
 |-
 |The [[Modules:BRAINSDemonWarp|'''BRAINSDemonWarp''' ]] Module performs automated registration of brain MRI based on an optic flow mechanism. Deformations here are significantly more "fluid" (i.e. have more DOF and are less constrained) than for the nonrigid BSpline method.
 |The [[Modules:HammerRegistration| '''HAMMER''']] Module performs elastic (non-rigid) alignment of '''brain''' images of different individuals based on tissue class segmentation and intensity (experimental stage).
-|The [[Modules:Plastimatch|'''Plastimatch''']] Module performs automated registration of images from rigid to affine to non-rigid. As a unique feature it provides non-rigid deformation from fiducials, which can be used to "edit/repair" a registration.
 |}