ATROPOS(1)
NAME
Atropos - part of ANTS registration suite
DESCRIPTION
- COMMAND:
- ./Atropos
- Atropos:
- A priori classification with registration initialized template assistance.
- OPTIONS:
- -i, --initialization:
- Option 1:
Random[numberOfClasses]
- Option 2:
Kmeans[numberOfClasses]
- Option 3:
Otsu[numberOfClasses]
- Option 4:
PriorProbabilityImages[numberOfClasses,fileSeriesFormat(index=1 to numberOfClasses) or vectorImage,priorWeighting]
- Option 5:
PriorLabelImage[numberOfClasses,labelImage,priorWeighting]
- -a, --intensity-image:
[intensityImage,<adaptiveSmoothingWeight>] -- adaptive smoothing only applies to initialization with prior image(s) - -x, --mask-image:
maskImage - -c, --convergence:
[<numberOfIterations>,<convergenceThreshold>] - -k, --likelihood-model:
Option 1: Gaussian Option 2: ManifoldParzenWindows[<pointSetSigma=1.0>,<evaluationKNeighborhood=50>,<CovarianceKNeighborhood=0>,<kernelSigma=0>] Option 3: HistogramParzenWindows[<Sigma=1.0>,<numberOfBins=32>] - -m, --mrf:
[<smoothingFactor>,<radius>] - -o, --output:
[classifiedImage,<posteriorProbabilityImageFileNameFormat>] - -u, --minimize-memory-usage:
minimize-memory-usage=1/(0) <VALUES>: 0 - -b, --bspline:
[<numberOfLevels>,<initialMeshResolution>,<splineOrder>] -- only applies to initialization with prior image(s) and non-zero adaptive smoothing parameter. - -e, --use-euclidean-distance:
use euclidean or geodesic distance for prior label distance maps = 1/(0) -- only applies to initialization with a prior label image. <VALUES>: 0 - -w, --winsorize-outliers:
Option 1: BoxPlot[<lowerPercentile=0.25>,<upperPercentile=0.75>,<whiskerLength=1.5>] Option 2: GrubbsRosner[<significanceLevel=0.05>,<winsorizingLevel=0.10>] - -l, --labels:
whichLabel[sigma,<boundaryProbability>] -- only applies to initialization with a prior label image. - -h, --help:
Print menu. <VALUES>: 1, 0