PLASTIMATCH(1) Plastimatch PLASTIMATCH(1)
NAME
plastimatch - register, convert, warp, or manipulate images
SYNOPSIS
plastimatch command [options]
DESCRIPTION
The plastimatch executable is used for a variety of operations, including image registration, image warping, image resampling, and file
format conversion. The form of the options depends upon the command given. The list of possible commands can be seen by simply typing
"plastimatch" without any additional command line arguments:
$ plastimatch
plastimatch version 1.4-beta (2161)
Usage: plastimatch command [options]
Commands:
add adjust autolabel crop compare
compose convert diff dvh header
mask register resample segment stats
thumbnail warp xio-dvh
For detailed usage of a specific command, type:
plastimatch command
PLASTIMATCH ADD
The add command is used to add one or more images together and create an output image.
The command line usage is given as follows:
Usage: plastimatch add input_file [input_file ...] output_file
Example
To add together files 01.mha, 02.mha and 03.mha, and save the result in the file output.mha, you can run the following command:
plastimatch add 01.mha 02.mha 03.mha output.mha
PLASTIMATCH ADJUST
The adjust command is used to adjust the intensity values within an image. The adjustment operations available are truncation and linear
scaling.
The command line usage is given as follows:
Usage: plastimatch adjust [options]
Required:
--input=image_in
--output=image_out
Optional:
--output-type={uchar,short,ushort,ulong,float}
--scale="min max"
--ab-scale="ab nfx ndf" (Alpha-beta scaling)
--stretch="min max"
--truncate-above=value
--truncate-below=value
Example
The following command will truncate the input intensities to the range [-1000,1000], and then map the intensities to the range [0,1]:
plastimatch adjust
--input infile.nrrd
--output outfile.nrrd
--truncate-above 1000
--truncate-below -1000
--stretch "0 1"
PLASTIMATCH AUTOLABEL
The autolabel command is an experimental program the uses machine learning to identify the thoracic vertibrae in a CT scan.
The command line usage is given as follows:
Usage: plastimatch autolabel [options]
Options:
-h, --help Display this help message
--input <arg> Input image filename (required)
--network <arg> Input trained network filename (required)
--output <arg> Output csv filename (required)
PLASTIMATCH CROP
The crop command crops out a rectangular portion of the input file, and saves that portion to an output file. The command line usage is
given as follows:
Usage: plastimatch crop [options]
Required:
--input=image_in
--output=image_out
--voxels="x-min x-max y-min y-max z-min z-max" (integers)
The voxels are indexed starting at zero. In other words, if the size of the image is M imes N imes P, the x values should range between 0
and M-1.
Example
The following command selects the region of size 10 imes 10 imes 10, with the first voxel of the output image being at location (5,8,12) of
the input image:
plastimatch crop
--input in.mha
--output out.mha
--voxels "5 14 8 17 12 21"
PLASTIMATCH COMPARE
The compare command compares two files by subtracting one file from the other, and reporting statistics of the difference image. The two
input files must have the same geometry (origin, dimensions, and voxel spacing). The command line usage is given as follows:
Usage: plastimatch compare image_in_1 image_in_2
Example
The following command subtracts synth_2 from synth_1, and reports the statistics:
$ plastimatch compare synth_1.mha synth_2.mha
MIN -558.201904 AVE 7.769664 MAX 558.680847
MAE 85.100204 MSE 18945.892578
DIF 54872 NUM 54872
The reported statistics are interpreted as follows:
MIN Minimum value of difference image
AVE Average value of difference image
MAX Maximum value of difference image
MAE Mean average value of difference image
MSE Mean squared difference between images
DIF Number of pixels with different intensities
NUM Total number of voxels in the difference image
PLASTIMATCH COMPOSE
The compose command is used to compose two transforms. The command line usage is given as follows:
Usage: plastimatch compose file_1 file_2 outfile
Note: file_1 is applied first, and then file_2.
outfile = file_2 o file_1
x -> x + file_2(x + file_1(x))
The transforms can be of any type, including translation, rigid, affine, itk B-spline, native B-spline, or vector fields. The output file
is always a vector field.
There is a further restriction that at least one of the input files must be either a native B-spline or vector field. This restriction is
required because that is how the resolution and voxel spacing of the output vector field is chosen.
Example
Suppose we want to compose a rigid transform (rigid.tfm) with a vector field (vf.mha), such that the output transform is equivalent to
applying the rigid transform first, and the vector field second.
plastimatch compose rigid.tfm vf.mha composed_vf.mha
PLASTIMATCH CONVERT
The convert command is used to convert files from one format to another format. As part of the conversion process, it can also apply (lin-
ear or deformable) geometric transforms to the input images. In fact, convert is just an alias for the warp command.
The command line usage is given as follows:
Usage: plastimatch convert [options]
Options:
--algorithm <arg> algorithm to use for warping, either
"itk" or "native", default is native
--ctatts <arg> ct attributes file (used by dij warper)
--default-value <arg> value to set for pixels with unknown
value, default is 0
--dif <arg> dif file (used by dij warper)
--dim <arg> size of output image in voxels "x [y z]"
-F, --fixed <arg> fixed image (match output size to this
image)
-h, --help display this help message
--input <arg> input directory or filename (required);
can be an image, structure set file (cxt
or dicom-rt), dose file (dicom-rt,
monte-carlo or xio), dicom directory, or
xio directory
--input-cxt <arg> input a cxt file
--input-dose-ast <arg> input an astroid dose volume
--input-dose-img <arg> input a dose volume
--input-dose-mc <arg> input an monte carlo volume
--input-dose-xio <arg> input an xio dose volume
--input-ss-img <arg> input a structure set image file
--input-ss-list <arg> input a structure set list file
containing names and colors
--interpolation <arg> interpolation to use when resampling,
either "nn" for nearest neighbors or
"linear" for tri-linear, default is
linear
--origin <arg> location of first image voxel in mm "x y
z"
--output-colormap <arg> create a colormap file that can be used
with 3d slicer
--output-cxt <arg> output a cxt-format structure set file
--output-dicom <arg> create a directory containing dicom and
dicom-rt files
--output-dij <arg> create a dij matrix file
--output-dose-img <arg> create a dose image volume
--output-img <arg> output image; can be mha, mhd, nii,
nrrd, or other format supported by ITK
--output-labelmap <arg> create a structure set image with each
voxel labeled as a single structure
--output-pointset <arg> create a pointset file that can be used
with 3d slicer
--output-prefix <arg> create a directory with a separate image
for each structure
--output-ss-img <arg> create a structure set image which
allows overlapping structures
--output-ss-list <arg> create a structure set list file
containing names and colors
--output-type <arg> type of output image, one of {uchar,
short, float, ...}
--output-vf <arg> create a vector field from the input xf
--output-xio <arg> create a directory containing xio-format
files
--patient-pos <arg> patient position in metadata, one of
{hfs,hfp,ffs,ffp}
--prune-empty delete empty structures from output
--referenced-ct <arg> dicom directory used to set UIDs and
metadata
--simplify-perc <arg> delete <arg> percent of the vertices
from output polylines
--spacing <arg> voxel spacing in mm "x [y z]"
--version display the program version
--vf <arg> input vector field used to warp image(s)
--xf <arg> input transform used to warp image(s)
Examples
The first example demonstrates how to convert a DICOM volume to NRRD. The DICOM images that comprise the volume must be stored in a single
directory, which for this example is called "dicom-in-dir". Because the --output-type option was not specified, the output type will be
matched to the type of the input DICOM volume. The format of the output file (NRRD) is determined from the filename extension.
plastimatch convert
--input dicom-in-dir
--output-img outfile.nrrd
This example further converts the type of the image intensities to float.
plastimatch convert
--input dicom-in-dir
--output-img outfile.nrrd
--output-type float
The next example shows how to resample the output image to a different geometry. The --origin option sets the position of the (center of)
the first voxel of the image, the --dim option sets the number of voxels, and the --spacing option sets the distance between voxels. The
units for origin and spacing are assumed to be millimeters.
plastimatch convert
--input dicom-in-dir
--output-img outfile.nrrd
--origin "-200 -200 -165"
--dim "250 250 110"
--spacing "2 2 2.5"
Generally speaking, it is tedious to manually specify the geometry of the output file. If you want to match the geometry of the output
file with an existing file, you can do this using the --fixed option.
plastimatch convert
--input dicom-in-dir
--output-img outfile.nrrd
--fixed reference.nrrd
This next example shows how to convert a DICOM RT structure set file into an image using the --output-ss-img option. Because structures in
DICOM RT are polylines, they are rasterized to create the image. The voxels of the output image are 32-bit integers, where the i^th bit of
each integer has value one if the voxel lies with in the corresponding structure, and value zero if the voxel lies outside the structure.
The structure names are stored in separate file using the --output-ss-list option.
plastimatch convert
--input structures.dcm
--output-ss-img outfile.nrrd
--output-ss-list outfile.txt
In the previous example, the geometry of the output file wasn't specified. When the geometry of a DICOM RT structure set isn't specified,
it is assumed to match the geometry of the DICOM CT image associated with the contours. If the associated DICOM CT image is in the same
directory as the structure set file, it will be found automatically. Otherwise, we have to tell plastimatch where it is located with the
--dicom-dir option.
plastimatch convert
--input structures.dcm
--output-ss-img outfile.nrrd
--output-ss-list outfile.txt
--dicom-dir ../ct-directory
PLASTIMATCH DIFF
The plastimatch diff command subtracts one image from another, and saves the output as a new image. The two input files must have the same
geometry (origin, dimensions, and voxel spacing).
The command line usage is given as follows:
Usage: plastimatch diff image_in_1 image_in_2 image_out
Example
The following command computes file1.nrrd minus file2.nrrd, and saves the result in outfile.nrrd:
plastimatch diff file1.nrrd file2.nrrd outfile.nrrd
PLASTIMATCH DVH
The dvh command creates a dose value histogram (DVH) from a given dose image and structure set image. The command line usage is given as
follows:
Usage: plastimatch dvh [options]
--input-ss-img file
--input-ss-list file
--input-dose file
--output-csv file
--input-units {gy,cgy}
--cumulative
--num-bins
--bin-width
The required inputs are --input-dose, --input-ss-img, --input-ss-list, and --output-csv. The units of the input dose must be either Gy or
cGy. DVH bin values will be generated for all structures found in the structure set files. The output will be generated as an ASCII
csv-format spreadsheet file, readable by OpenOffice.org or Microsoft Excel.
The default is a differential (standard) histogram, rather than the cumulative DVH which is most common in radiotherapy. To create a cumu-
lative DVH, use the --cumulative option.
The default is to create 256 bins, each with a width of 1 Gy. You can adjust these values using the --num-bins and --bin-width option.
Example
To generate a DVH for a single 2 Gy fraction, we might choose 250 bins each of width 1 cGy. If the input dose is already specified in cGy,
you would use the following command:
plastimatch dvh
--input-ss-img structures.mha
--input-ss-list structures.txt
--input-dose dose.mha
--output-csv dvh.csv
--input-units cgy
--num-bins 250
--bin-width 1
PLASTIMATCH HEADER
The header command displays brief information about the image geometry. The command line usage is given as follows:
Usage: plastimatch header input-file
Example
We can display the geometry of any supported file type, such as mha, nrrd, or dicom. We can run the command as follows:
$ plastimatch header input.mha
Origin = -180 -180 -167.75
Size = 512 512 120
Spacing = 0.7031 0.7031 2.5
Direction = 1 0 0 0 1 0 0 0 1
From the header information, we see that the image has 120 slices, and each slice is 512 x 512 pixels. The slice spacing is 2.5 mm, and
the in-plane pixel spacing is 0.7031 mm.
PLASTIMATCH MASK
The mask command is used to fill in a region of the image, as specified by a mask file, with a constant intensity.
The command line usage is given as follows:
Usage: plastimatch mask [options]
Required:
--input=image_in
--output=image_out
--mask=mask_image_in
Optional:
--negate-mask
--mask-value=float
--output-format=dicom
--output-type={uchar,short,ushort,ulong,float}
Examples
If we have a file prostate.nrrd which is non-zero inside of the prostate and zero outside of the prostate, we can set the prostate inten-
sity to 1000 (while leaving non-prostate areas with their original intensity) using the following command.
plastimatch mask
--input infile.nrrd
--output outfile.nrrd
--mask-value 1000
--mask prostate.nrrd
Suppose we have a file called patient.nrrd, which is non-zero inside of the patient, and zero outside of the patient. If we want to fill
in the area outside of the patient with value -1000, we use the following command.
plastimatch mask
--input infile.nrrd
--output outfile.nrrd
--negate-mask
--mask-value 1000
--mask patient.nrrd
PLASTIMATCH REGISTER
The plastimatch register command is used to peform linear or deformable registration of two images. The command line usage is given as
follows:
Usage: plastimatch register command_file
A more complete description, including the format of the required command file is given in the next section.
PLASTIMATCH RESAMPLE
The resample command can be used to change the geometry of an image.
The command line usage is given as follows:
Usage: plastimatch resample [options]
Required: --input=file
--output=file
Optional: --subsample="x y z"
--fixed=file
--origin="x y z"
--spacing="x y z"
--size="x y z"
--output_type={uchar,short,ushort,float,vf}
--interpolation={nn, linear}
--default_val=val
Example
We can use the --subsample option to bin an integer number of voxels to a single voxel. So for example, if we want to bin a cube of size
3x3x1 voxels to a single voxel, we would do the following.
plastimatch resample
--input infile.nrrd
--output outfile.nrrd
--subsample "3 3 1"
PLASTIMATCH SEGMENT
The segment command does simple threshold-based semgentation. The command line usage is given as follows:
Usage: plastimatch segment [options]
Options:
-h, --help Display this help message
--input <arg> Input image filename (required)
--lower-threshold <arg> Lower threshold (include voxels
above this value)
--output-dicom <arg> Output dicom directory (for RTSTRUCT)
--output-img <arg> Output image filename
--upper-threshold <arg> Upper threshold (include voxels
below this value)
Example
Suppose we have a CT image of a water tank, and we wish to create an image which has ones where there is water, and zeros where there is
air. Then we could do this:
plastimatch segment
--input water.mha
--output-img water-label.mha
--lower-threshold -500
If we wanted instead to create a DICOM-RT structure set, we should specify a DICOM image as the input. This will allow plastimatch to cre-
ate the DICOM-RT with the correct patient name, patient id, and UIDs. The output file will be called "ss.dcm".
plastimatch segment
--input water_dicom
--output-dicom water_dicom
--lower-threshold -500
PLASTIMATCH STATS
The plastimatch stats command displays a few basic statistics about the image onto the screen.
The command line usage is given as follows:
Usage: plastimatch stats file [file ...]
The input files can be either 2D projection images, 3D volumes, or 3D vector fields.
Example
The following command displays statistics for the 3D volume synth_1.mha.
$ plastimatch stats synth_1.mha
MIN -999.915161 AVE -878.686035 MAX 0.000000 NUM 54872
The reported statistics are interpreted as follows:
MIN Minimum intensity in image
AVE Average intensity in image
MAX Maximum intensity in image
NUM Number of voxels in image
Example
The following command displays statistics for the 3D vector field vf.mha:
$ plastimatch stats vf.mha
Min: 0.000 -0.119 -0.119
Mean: 13.200 0.593 0.593
Max: 21.250 1.488 1.488
Mean abs: 13.200 0.594 0.594
Energy: MINDIL -6.7975 MAXDIL 0.16602 MAXSTRAIN 41.576 TOTSTRAIN 70849.7
Min dilation at: (29 19 19)
Jacobian: MINJAC -6.32835 MAXJAC 1.15443 MINABSJAC 0.360538
Min abs jacobian at: (28 36 36)
Second derivatives: MINSECDER 0 MAXSECDER 388.82 TOTSECDER 669219
INTSECDER 1.524e+06
Max second derivative: (29 36 36)
The rows corresponding to "Min, Mean, Max, and Mean abs" each have three numbers, which correspond to the x, y, and z coordinates. There-
fore, they compute these statistics for each vector direction separately.
The remaining statistics are described as follows:
MINDIL Minimum dilation
MAXDIL Maximum dilation
MAXSTRAIN Maximum strain
TOTSTRAIN Total strain
MINJAC Minimum Jacobian
MAXJAC Maximum Jacobian
MINABSJAC Minimum absolute Jacobian
MINSECDER Minimum second derivative
MAXSECDER Maximum second derivative
TOTSECDER Total second derivative
INTSECDER Integral second derivative
PLASTIMATCH THUMBNAIL
The thumbnail command generates a two-dimensional thumbnail image of an axial slice of the input volume. The output image is not required
to correspond exactly to an integer slice number. The location of the output image within the slice is always centered.
The command line usage is given as follows:
Usage: plastimatch thumbnail [options] input-file
Options:
--input file
--output file
--thumbnail-dim size
--thumbnail-spacing size
--slice-loc location
Example
We create a two-dimensional image with resolution 10 x 10 pixels, at axial location 0, and of size 20 x 20 mm:
plastimatch thumbnail
--input in.mha --output out.mha
--thumbnail-dim 10
--thumbnail-spacing 2
--slice-loc 0
PLASTIMATCH WARP
The warp command is an alias for convert. Please refer to plastimatch_convert for the list of command line parameters.
Examples
To warp an image using the B-spline coefficients generated by the plastimatch register command (saved in the file bspline.txt), do the fol-
lowing:
plastimatch warp
--input infile.nrrd
--output outfile.nrrd
--xf bspline.txt
In the previous example, the output file geometry was determined by the geometry information in the bspline coefficient file. You can
resample to a different geometry using --fixed, or --origin, --dim, and --spacing.
plastimatch warp
--input infile.nrrd
--output outfile.nrrd
--xf bspline.txt
--fixed reference.nrrd
When warping a structure set image, where the integer bits correspond to structure membership, you need to use nearest neighbor interpola-
tion rather than linear interpolation.
plastimatch warp
--input structures-in.nrrd
--output structures-out.nrrd
--xf bspline.txt
--interpolation nn
Sometimes, voxels located outside of the geometry of the input image will be warped into the geometry of the output image. By default,
these areas are "filled in" with an intensity of zero. You can choose a different value for these areas using the --default-val option.
plastimatch warp
--input infile.nrrd
--output outfile.nrrd
--xf bspline.txt
--default-val -1000
AUTHOR
Plastimatch is a collaborative project. For more documentation, please visit http://plastimatch.org. For questions, comments, and bug
reports, please visit http://groups.google.com/group/plastimatch.
COPYRIGHT
Plastimatch development team (C) 2010-2011. You are free to use, modify, and distribute plastimatch according to a BSD-style license.
Please see LICENSE.TXT for details.
Plastimatch 1.5 June 11, 2011 PLASTIMATCH(1)