Difference between revisions of "Slicer3:Registration"

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== Default Registration Module==
 
== Default Registration Module==
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Image:Registration_Rigid+Affine_icon.png|The [[Modules:RegisterImages-Documentation-3.4|'''Register Images''']] Module (Casey Goodlett, Stephen Aylward) performs automated image registration, rigid to affine, based on image intensity similarities. It allows to focus the registration on a region of interest, either via a mask labelmap or via the ROI module (see Auxilary modules below).
 
Image:Registration_Rigid+Affine_icon.png|The [[Modules:RegisterImages-Documentation-3.4|'''Register Images''']] Module (Casey Goodlett, Stephen Aylward) performs automated image registration, rigid to affine, based on image intensity similarities. It allows to focus the registration on a region of interest, either via a mask labelmap or via the ROI module (see Auxilary modules below).
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Image:SlicerRegistrationLibrary_Ad.png|Slicer Registration Case Library: Call for Example Datasets <br>
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[[Projects:RegistrationDocumentation:UseCaseAdvertisement|'''Consider adding your case to the library''']]
 
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Revision as of 01:17, 3 March 2010

Home < Slicer3:Registration

Registration in 3D Slicer

An extensive set of tools is available within 3D Slicer to support your registration or image fusion task. The right module will depend on your input data and the underlying question asked. Below is an overview of the main and auxilary modules related to image registration. The spectrum ranges from fully automated to fiducial to fully interactive manual alignment, and from rigid to fully elastic image warping. Most modules are generic and can handle any image content, but a few are designed specifically for brain images. They have a brain contour in the icon.
There are also many auxilary/support modules that perform important functions you may need to successfully complete your registration, such as the ROI or Interactive Editor modules to obtain masks, or the Resample modules to properly apply your result transform to the image.
This page is organized by methods. Alternatively the Slicer Registration Case Library is organized by data type, i.e. it provides example cases, complete with tutorials, for a variety of registration problems collected in the "real world". You may find a good starting point and helpful discussion in those examples. If you find something amiss, please let us know so we can amend (meier at bwh.harvard.edu).

Default Registration Module

Alternative Registration Modules

Modules for Special Case Registration

Auxilary Modules for Registration

Registration Examples / Use-Cases

  • The Slicer Registration Case Library contains a (growing) collection of registration example cases to download and try yourself, complete with step-by step tutorial, image data, parameter presets, solutions and discussion of the particular challenges and strategies. We hope you will find a case similar to yours in this library that will provide an educated starting point. If you cannot find a similar case, take advantage of our Call for Example Datasets to add your case to the library.

Registration Work in Progress