Provided by: cmtk_3.3.1p1+dfsg-2build1_amd64 bug

NAME

       cmtk - the Computational Morphometry Toolkit

SYNOPSIS

       cmtk <command> [options]

DESCRIPTION

       This  helper script provides a unified access to all command line tools provided by CMTK.  Please specify
       CMTK's command to run and its options. See cmtk-<command>(1) manpage or output of cmtk  <command>  --help
       for <command> specific options

COMMANDS

       asegment
            Register  a  target image to an atlas, using affine followed by nonrigid B-spline registration, then
            reformat the atlas label map to the target image.

       asegment_sri24
            Register a target image to a selected channel of the SRI24 human brain atlas, then reformat  one  of
            the  atlas  label  maps  to  the  target  image.  Note: it is assume that the target image is skull-
            stripped, i.e., contains only the brain.

       average_affine
            This tool computes the average of a sequence of user-provided affine coordinate transformations.

       average_images
            This tool computes pixelwiase average, variance, standard deviation, z-score, or entropy images from
            a list of user-provided intensity images.

       average_labels
            Average co-registered label images using partial volumes

       avg_adm
            Compute  average-shape  average-intensity  images  and  deformation maps using an active deformation
            model.

       concat_affine
            This tool computes the explicit concatenation of multiple affine coordinate transformations, each of
            which can be optionally inverted.

       convert_warp
            This  tool  converts  nonrigid  B-spline  free-format deformation coordinate transformations between
            different  representations  (e.g.,  absolute  vs.  relative  vectors).   Also   creates   fractional
            transformations.

       convertx
            This  tool  converts  between  image  file  formats  and pixel data types. It can also apply simple,
            general-purpose image operations in the process. An arbitrary number of operations can be  specified
            on the command line, which will be applied exactly in the order given.

       dbtool
            This tool modifies and queries the database of images and transformations between them.

       dcm2image
            Combine sets of DICOM slices to 3D image stacks

       describe
            This tool prints a detailed description of the input files as either image(s) or transformation(s).

       destripe
            This  program corrects stripe artifacts in acquired image stacks which can result from between-slice
            intensity scale differences.

       detect_adni_phantom
            This tool detects the locations of all spherical landmarks in a  3D  image  of  the  Magphan  EMR051
            structural imaging phantom (a.k.a. ADNI Phantom).

       detect_spheres_matched_filter
            This tool detects spherical objects in three-dimensional images.

       dof2mat
            Convert affine transformation from degrees-of-freedom representation to matrix form

       dwi_mask_bad_slices
            This  tool  reads  a  set  of 3D diffusion-weighted MR images and finds bad slices. A bad slice in a
            diffusion image is detected as one whose mean intensity is outside a specified interval  around  the
            mean of the means of all corresponding slices from the remaining diffusion images.

       epiunwarp
            Correct  B0  field  inhomogeneity-induced distortion in Echo Planar Images (e.g., diffusion-weighted
            images) using two images acquired with opposing phase encoding directions.

       fib2image
            Fiber tracking results from the UNC Fiber Tracking tool are read from Standard Input and  all  fiber
            points are drawn into a 3D image. The result is written in one of the supported image file formats.

       fibxform
            A  file with fiber tracking results from the UNC Fiber Tracking tool is read from Standard Input and
            one or more (concatenated) coordinate transformations are applied to all  fiber  point  coordinates.
            The result is written to Standard Output, again in UNC fiber file format.

       film This  tool  splits  an  interleaved  input  image  into  the  pass  images,  co-registers  them, and
            reconstructs a motion-corrected image

       filter
            This tool applies spatial filtering operators,  including  cnotent-sensitive  opersators,  based  on
            selective Gaussian kernels.

       fit_affine_dfield
            Fit  a  linear  affine  transformation  to  a  nonrigid  transformation, either a B-spline free-form
            deformation or a non-parametric deformation field.

       fit_affine_xform
            Fit a linear affine transformation to a list of concatenated, optionally inverted, transformations.

       fit_affine_xform_landmarks
            Fit a linear affine transformation to a set of matched landmarks.

       fit_spline_dfield
            Fit a parametric nonrigid transformation (B-spline free-form deformation) to a deformation field

       fit_spline_xform
            Fit a parametric nonrigid transformation (B-spline free-form deformation) to a list of concatenated,
            optionally inverted, transformations.

       geomatch
            This  tool reads two or more images and tests whether their grid dimensions, pixel sizes, and image-
            to-space transformations match. Optionally, all images  are  reoriented  into  standard  orientation
            before  performing  the  test.  If all images match, the tool returns with exit code 0, otherwise it
            returns with exit code 2. In case of an error (e.g., one of the images can not be  read),  the  exit
            code is 1.

       glm  Statistical modeling of pixel intensities in multiple images using a General Linear Model.

       gmm  Segment an image into c classes using the EM algorithm for Gaussian mixtures with optional priors.

       gregxform
            THIS TOOL IS DEPRECATED. PLEASE USE streamxform INSTEAD.

       groupwise_affine
            This  tool  registers  a population of input images simultaneously, without a template, using either
            the 'congealing' algorithm or a groupwise similarity measure based on a continuous approximation  of
            mutual information ('RMI').

       groupwise_init
            Compute  initial  affine  alignment  for  a group of input images, which can be used as an input for
            groupwise registration

       groupwise_warp
            This tool nonrigidly registers a population of input  images  simultaneously,  without  a  template,
            using  either  the  'congealing'  algorithm  or a groupwise similarity measure based on a continuous
            approximation of mutual information ('RMI').

       hausdorff
            This tool computes the Hausdorff distance between two label images.

       histogram
            Create a histogram of image intensities and write as tab-separated text file to standard output

       imagemath
            Perform operations on images using stack-based postfix notation.

       interleaved_bad_slices
            This tool reads a time series of 3D images and detects outliers.

       iterative_shape_averaging

       jidb This tool  splits  an  interleaved  input  image  into  the  pass  images,  co-registers  them,  and
            reconstructs a motion-corrected image

       levelset
            Levelset-type segmentation of foreground/background using minimum regional variance energy

       lmsba
            This  tool  combines  multiple  multi-class segmentations from co-registered and reformatted atlases
            using locally-weighted Shape-Based Averaging.

       lsba This tool combines multiple binary segmentations from co-registered and  reformatted  atlases  using
            locally-weighted Shape-Based Averaging.

       lvote
            This  tool  combines multiple segmentations fro co-registered and reformatted atlases using locally-
            weighted voting.

       make_initial_affine
            Compute initial affine transformation by aligning centers of mass or principal axes

       mat2dof
            Convert transformation matrix to degrees of freedom

       mcaffine
            Multi-channel affine image registration using  histogram-based  or  covariance-based  joint  entropy
            measures

       mcwarp
            Multi-channel  nonrigid  B-spline image registration using histogram-based or covariance-based joint
            entropy measures

       mk_adni_phantom
            Generate image of the ADNI structural imaging calibration phantom (a.k.a. Magphan EMR051).

       mk_analyze_hdr
            Make header file according Analzye 7.5 format based on user-supplied parameters for  geometry,  data
            type, orientation, etc.

       mk_nifti_hdr
            Make header file according to NIFTI file format based on user-supplied parameters for geometry, data
            type, orientation, etc.

       mk_phantom_3d
            Generate 3D digital phantom images using a selection of drawing commands

       mrbias
            This program corrects intensity inhomogeneity artifacts in MR images using a  bias  field  estimated
            via entropy minimization.

       overlap
            Compute overlap measures between two or more images

       probe
            This tool prints pixel values or symbolic labels at a list of user-provided image coordinates.

       pxsearch
            This  tool reads an image file, as well as a list of pixel coordinates from standard input. For each
            pixel, a local neighbourhood  in the image is searched for the maximum value. The  location  of  the
            maximum is then written to standard output.

       reformatx
            Extended  volume  reformatter  tool  to  compute reformatted images and Jacobian maps from arbitrary
            sequences of concatenated transformations

       registration
            This program performs rigid and affine image registration  using  multi-resolution  optimization  of
            voxel-based image similarity measures.

       registrationx
            This  program  performs  rigid  and affine image registration using multi-resolution optimization of
            voxel-based image similarity measures.

       regress
            Linear (and higher-order polynomial) regression of deformation fields and images.

       reorient
            Convert between  image  orientations,  i.e.,  physically  re-order  pixel  array  and  adapt  stored
            anatomical orientation information

       sba  Average  segmentations  (label fields) using the Euclidean Distance Transform. All input images must
            be    in    the    same    space.    EDT    is    computed    in    this     space     also.     See
            http://dx.doi.org/10.1109/TIP.2006.884936 for details of the underlying algorithm.

       sbai Average  segmentations  (label  fields)  using  the Euclidean Distance Transform. This tool performs
            joint interpolation and averaging by interpolating from the EDT. This requires that the  inputs  are
            transformations from the same fixed to (not necessarily) different moving images. EDT computation is
            done in the space of each moving image. See http://dx.doi.org/10.1109/TIP.2006.884936 for details of
            the underlying algorithm.

       sequence
            Analyze sequence of numerical values, which is read from standard input

       similarity
            Compute similarity measures such as intensity difference or label overlaps between two images.

       split
            Split volume image into sub-images, i.e., to separate interleaved images into passes

       statistics
            Statistical computations on image pixel intensities, i.e., means and standard deviations

       stream_pixels
            This  tool  reads  one or more images and writes all their pixels to standard output in binary form.
            Optionally, each image can be reoriented to a specified anatomical orientation and/or converted to a
            different  data  type. This is useful for piping image data through a pipeline, e.g., the Camino DTI
            toolkit.

       streamxform
            An ASCII-format list of point coordinates is read from standard input and a  user-provided  sequence
            of  coordinate transformations (each optionally inverted) is applied to them. The transformed points
            are then written to standard output.

       sympl
            Compute the approximate symmetry plane of an image to determine, for example, the mid-sagittal plane
            in human brain images. Various forms of output are supported, e.g., writing the input image with the
            symmetry plane drawn into it, or the input image realigned along the symmetry plane.

       symplx
            Compute the approximate symmetry plane of an image to determine, for example, the mid-sagittal plane
            in human brain images. Various forms of output are supported, e.g., writing the input image with the
            symmetry plane drawn into it, or the input image realigned along the symmetry plane.

       ttest
            Pixelwise tests of statistical significance. Also compute correlations and z-scores

       unsplit
            Join separate image stacks into a single interleaved image volume

       unwarp_image_phantom
            This tool computes either a polynomial transformation or B-spline free-form deformation to unwarp an
            image.  The  transformation  is based on expected and detected landmarks in an image of a structural
            phantom acquired on the same scanner. Use the 'detect_adni_phantom' tool to detect landmarks of  the
            ADNI Phantom in an image and generate a phantom description file suitable for use with this tool.

       vol2csv
            This  tool  computes  the  volumes  of  regions in a label image. It optionally accepts density maps
            (e.g., for different tissues) and computes and prints the per-region content  for  each.  Also,  the
            tool  can  accept an optional 'pixel volume' map to account for local pixel volume variations, e.g.,
            due to spatial distortion.

       volume_injection
            Reconstruction a high-resolution volume from multiple co-registered  (low-resolution)  images  using
            forward volume injection

       volume_reconstruction
            Iterative  volume  reconstruction  from  co-registered  images  using inverse interpolation or joint
            deblurring

       vtkxform
            An ASCII-format VTK file is read from standard input and a user-provided  coordinate  transformation
            (optionally  inverted)  is applied to the vertex coordinates.  A VTK file with transformed points is
            then written to standard output.

       warp This program performs nonrigid image registration using multi-resolution optimization of voxel-based
            image similarity measures and a multi-resolution B-spline transformation model.

       warp2ps
            Write deformation field as deformed grid in PostScript format for visualization and illustration

       warpx
            This program performs nonrigid image registration using multi-resolution optimization of voxel-based
            image similarity measures and a multi-resolution B-spline transformation model.

       xform2dfield
            Convert parametric rigid or nonrigid transformation to deformation field, sampled at pixel locations
            of a given reference image

       xform2itk
            This  tool  converts  coordinate transformations from CMTK format to ITK format and, in the process,
            also correct for differences in image coordinate conventions

       xform2scalar
            This tool extracts scalar measures from transformations and  deformation  fields,  sampled  at  grid
            locations,  and  writes  the  results  to an image. Examples of supported scalar measures are: x,y,z
            component of the transformation, magnitude of the transformation, and Jacobian determinants.

AUTHORS

       Torsten Rohlfing, with contributions from Michael P. Hasak, Greg Jefferis, Calvin R.  Maurer,  Daniel  B.
       Russakoff, and Yaroslav Halchenko

LICENSE

       http://www.fsf.org/licensing/licenses/gpl.html

BUGS

       Report bugs at http://nitrc.org/projects/cmtk/

ACKNOWLEDGMENTS

       CMTK  is  developed  with support from the NIAAA under Grant AA021697, National Consortium on Alcohol and
       Neurodevelopment in Adolescence (N-CANDA): Data Integration Component. From April 2009 through  September
       2011, CMTK development and maintenance was supported by the NIBIB under Grant EB008381.