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antsctlungregistrationexample's Issues

what's the meaning of MSQ?

In the shell:

-m MSQ[${inspirationPreprocessed},${expirationPreprocessed},1,1]

However, when I refer to the help of antsregistration, it report:


     -m, --metric CC[fixedImage,movingImage,metricWeight,radius,<samplingStrategy={None,Regular,Random}>,<samplingPercentage=[0,1]>]
                  MI[fixedImage,movingImage,metricWeight,numberOfBins,<samplingStrategy={None,Regular,Random}>,<samplingPercentage=[0,1]>]
                  Mattes[fixedImage,movingImage,metricWeight,numberOfBins,<samplingStrategy={None,Regular,Random}>,<samplingPercentage=[0,1]>]
                  MeanSquares[fixedImage,movingImage,metricWeight,radius=NA,<samplingStrategy={None,Regular,Random}>,<samplingPercentage=[0,1]>]
                  Demons[fixedImage,movingImage,metricWeight,radius=NA,<samplingStrategy={None,Regular,Random}>,<samplingPercentage=[0,1]>]
                  GC[fixedImage,movingImage,metricWeight,radius=NA,<samplingStrategy={None,Regular,Random}>,<samplingPercentage=[0,1]>]
                  ICP[fixedPointSet,movingPointSet,metricWeight,<samplingPercentage=[0,1]>,<boundaryPointsOnly=0>]
                  PSE[fixedPointSet,movingPointSet,metricWeight,<samplingPercentage=[0,1]>,<boundaryPointsOnly=0>,<pointSetSigma=1>,<kNeighborhood=50>]
                  JHCT[fixedPointSet,movingPointSet,metricWeight,<samplingPercentage=[0,1]>,<boundaryPointsOnly=0>,<pointSetSigma=1>,<kNeighborhood=50>,<alpha=1.1>,<useAnisotropicCovariances=1>]
                  IGDM[fixedImage,movingImage,metricWeight,fixedMask,movingMask,<neighborhoodRadius=0x0>,<intensitySigma=0>,<distanceSigma=0>,<kNeighborhood=1>,<gradientSigma=1>]

it do not include the MSQ metric. What's the meaning of MSQ?
In addition, do you think whether it is necessary to set the interpolation? For example, set the interpolation to BSpline?

Moreover, the speed of ANTs is still slow. Is there any method to speed it up? Can GPU help it?

Runtime?

Hi Nick -- thanks for this well documented example. I'm curious if you have an estimate of your runtime and rough computer specifications (I realize this was made many years ago). I saw your paper ("Lung CT Image Registration Using ...") with the EMPIRE results that list various runtimes, and there is quite a range. (Also sidenote the EMPIRE links in the readme.md file are broken.) I'm trying to replicate your example before moving on to my own analysis by correctly setting up my computing node.

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