bionic (1) antsAI.1.gz

NAME

       antsAI - part of ANTS registration suite

DESCRIPTION

   COMMAND:
              antsAI

              Program to calculate the optimallinear transform parameters for aligning two images.

   OPTIONS:
       -d, --dimensionality 2/3

              This  option forces the image to be treated as a specified-dimensional image. If not specified, we
              try to infer the dimensionality from the input image.

       -m,                                                                                              --metric
              MI[fixedImage,movingImage,<numberOfBins=32>,<samplingStrategy={None,Regular,Random}>,<samplingPercentage=[0,1]>]

              Mattes[fixedImage,movingImage,<numberOfBins=32>,<samplingStrategy={None,Regular,Random}>,<samplingPercentage=[0,1]>]
              GC[fixedImage,movingImage,<radius=NA>,<samplingStrategy={None,Regular,Random}>,<samplingPercentage=[0,1]>]

              These image metrics are available: MI: joint histogram and  Mattes:  mutual  information  and  GC:
              global correlation.

       -t, --transform Rigid[gradientStep]
              Affine[gradientStep] Similarity[gradientStep]

              Several  transform  options  are  available.  The  gradientStep  or learningRate characterizes the
              gradient descent optimization and is scaled appropriately  for  each  transform  using  the  shift
              scales estimator.

       -p, --align-principal-axes

              Boolean  indicating  alignment by principal axes. Alternatively, one can align using blobs (see -b
              option).

       -b, --align-blobs numberOfBlobsToExtract
              [numberOfBlobsToExtract,<numberOfBlobsToMatch=numberOfBlobsToExtract>]

              Boolean indicating alignment by a set of blobs. Alternatively, one can align using blobs  (see  -p
              option).

       -s, --search-factor searchFactor
              [searchFactor,<arcFraction=1.0>]

              Incremental  search  factor  (in  degrees) which will sample the arc fraction around the principal
              axis or default axis.

       -c, --convergence numberOfIterations
              [numberOfIterations,<convergenceThreshold=1e-6>,<convergenceWindowSize=10>]

              Number of iterations.

       -x, --masks fixedImageMask

              [fixedImageMask,movingImageMask]

              Image masks to limit voxels considered by the metric.

       -o, --output outputFileName

              Specify the output transform (output format an ITK .mat file).

       -v, --verbose (0)/1

              Verbose output.

       -h

              Print the help menu (short version).

       --help

              Print the help menu.  <VALUES>: 1