Difference between revisions of "Registration:Resampling"

From Slicer Wiki
Jump to: navigation, search
Line 10: Line 10:
 
|}
 
|}
  
 +
= What we mean by ''Resampling'' =
 +
Resampling builds a new dataset (image, surface, fiducials etc) from an existing one, but with a different orientation, resolution, field of view or aspect ratio. For example the last step in registering 2 images will be to resample the moving data and thereby generate a new and aligned image. Or changing the voxel size to something larger or smaller involves resampling.
 +
[http://en.wikipedia.org/wiki/Resampling  See Wikipedia for a more detailed definition].
  
 
= Resampling in Place: Change Resolution or Field of View=
 
= Resampling in Place: Change Resolution or Field of View=
Line 19: Line 22:
 
*The ''Harden Transforms'' function in the Data Module
 
*The ''Harden Transforms'' function in the Data Module
 
= Resampling Vector- and Tensor-Data =
 
= Resampling Vector- and Tensor-Data =
 +
 +
= Resampling Surface- and Model-Data =
 +
*The [[Modules:ModelTransform-Documentation-3.6|'''Model Transform''']] Module reorients your surface model based on a transform.
  
  
 
= Related Functions =
 
= Related Functions =

Revision as of 14:24, 3 May 2010

Home < Registration:Resampling

Resampling in 3D Slicer

Several distinct tools are available within 3D Slicer for resampling image data to change orientation, resolution or field of view. The organization below is intended to help you choose the best module for your task

Note that there are also many related functions that change aspects of the image without requiring a resampling, e.g. changing the aspect ratio or slice view orientation. They are listed in a separate category below.
If you find something amiss, please let us know so we can amend (meier at bwh.harvard.edu).

Slicer Registration Case Library: Call for Example Datasets

Consider adding your case to the library: If your resampling task is related to a registration problem, we can (for 2010-2011) offer you direct consulting: If we can add your (anonymized) case to the Library, we will assist you with registering/resampling by processing your case and providing step-by-step instructions and best-practice tips. See here for details.

What we mean by Resampling

Resampling builds a new dataset (image, surface, fiducials etc) from an existing one, but with a different orientation, resolution, field of view or aspect ratio. For example the last step in registering 2 images will be to resample the moving data and thereby generate a new and aligned image. Or changing the voxel size to something larger or smaller involves resampling. See Wikipedia for a more detailed definition.

Resampling in Place: Change Resolution or Field of View

  • The crop volume module...
  • The Resample Scalar Volume Module changes resolution (spacing) of an image. Several interpolation options.

Resampling via a spatial transform

Resampling Vector- and Tensor-Data

Resampling Surface- and Model-Data

  • The Model Transform Module reorients your surface model based on a transform.


Related Functions