ANTSAI

NAME

antsAI − part of ANTS registration suite

DESCRIPTION

COMMAND:

antsAI

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

OPTIONS:

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.

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.

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.

[fixedImageMask,movingImageMask]

Image masks to limit voxels considered by the metric.

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

Verbose output.

Print the help menu (short version).

Print the help menu. <VALUES>: 1