Difference between revisions of "Projects:RegistrationImprovement:XFormConcatenation"

From NAMIC Wiki
Jump to: navigation, search
Line 1: Line 1:
[[Projects:ARRASuplements|Back to ARRA main page]]
+
[[Projects:RegistrationDocumentation|Back to Registration main page]]
  
Multiple spatial transforms applied to the same volume appear as nested MRML entries, which could be collapsed. Important to apply before a volume resampling is executed to avoid accumulation of interpolation effects. Affine is simple matrix multiplication, Bspline would have to send the gridpoints through all Xforms and reparameterize.
+
Multiple spatial transforms applied to the same volume appear as nested MRML entries, which could be collapsed. Important to apply before a volume resampling is executed to avoid accumulation of interpolation effects. Affine is simple matrix multiplication, Bspline would have to send the gridpoints through all Xforms and reparameterize.
  
 
  [[Image:XFormsNested.png|right|]]
 
  [[Image:XFormsNested.png|right|]]

Revision as of 18:40, 9 October 2009

Home < Projects:RegistrationImprovement:XFormConcatenation

Back to Registration main page

Multiple spatial transforms applied to the same volume appear as nested MRML entries, which could be collapsed. Important to apply before a volume resampling is executed to avoid accumulation of interpolation effects. Affine is simple matrix multiplication, Bspline would have to send the gridpoints through all Xforms and reparameterize.

XFormsNested.png
XFormsConcatenated.png


Affine is just matrix multiplication. Non-rigid is trickier, BSpline would have to send the grid-points thru and reparameterize. But in any event to limit interpolation effects something of this nature would be key. It also moves toward what in digital photography circles is known as "non-destructive image processing", a powerful concept esp. for slicer as a single-case experimental platform, and at least in principle well positioned with the MRML tree data structure.