You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I am trying to perform registration of large images. both source and target are large and therefore I get the error: affine_pca <- niftyreg(source,
target,
scope = c("affine"),
verbose = T)
[reg_aladin_sym] Parameters
[reg_aladin_sym] Platform: cpu_platform
[reg_aladin_sym] Reference image name: (null)
[reg_aladin_sym] 7878x7061x1 voxels
[reg_aladin_sym] 1x1x1 mm
[reg_aladin_sym] Floating image name: (null)
[reg_aladin_sym] 6878x6061x1 voxels
[reg_aladin_sym] 1x1x1 mm
[reg_aladin_sym] Maximum iteration number: 5
[reg_aladin_sym] (10 during the first level)
[reg_aladin_sym] Percentage of blocks: 50 %
[reg_aladin_sym] * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * [NiftyReg ERROR] Function: reg_tools_kernelConvolution_core
[NiftyReg ERROR] This function does not support images with dimension > 2048
Error in niftyreg.linear(source, target, scope, init, sourceMask, targetMask, :
[NiftyReg] Fatal error
is there a way to bypass this? I could not find a solution (a part from downsampling the images)
thanks in advance!
The text was updated successfully, but these errors were encountered:
hello,
I am trying to perform registration of large images. both source and target are large and therefore I get the error:
affine_pca <- niftyreg(source,
target,
scope = c("affine"),
verbose = T)
[reg_aladin_sym] Parameters
[reg_aladin_sym] Platform: cpu_platform
[reg_aladin_sym] Reference image name: (null)
[reg_aladin_sym] 7878x7061x1 voxels
[reg_aladin_sym] 1x1x1 mm
[reg_aladin_sym] Floating image name: (null)
[reg_aladin_sym] 6878x6061x1 voxels
[reg_aladin_sym] 1x1x1 mm
[reg_aladin_sym] Maximum iteration number: 5
[reg_aladin_sym] (10 during the first level)
[reg_aladin_sym] Percentage of blocks: 50 %
[reg_aladin_sym] * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
[NiftyReg ERROR] Function: reg_tools_kernelConvolution_core
[NiftyReg ERROR] This function does not support images with dimension > 2048
Error in niftyreg.linear(source, target, scope, init, sourceMask, targetMask, :
[NiftyReg] Fatal error
is there a way to bypass this? I could not find a solution (a part from downsampling the images)
thanks in advance!
The text was updated successfully, but these errors were encountered: