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Multiply AFNI datasets slice-by-slice as matrices.
If dataset A has Ra rows and Ca columns (per slice), and dataset B has
Rb rows and Cb columns (per slice), multiply each slice pair as matrices
to obtain a dataset with Ra rows and Cb columns. Here Ca must equal Rb
and the number of slices must be equal.
In practice the first dataset will probably be a transformation matrix
(or a sequence of them) while the second dataset might just be an image.
For this reason, the output dataset will be based on inputB.
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examples:
3dmatmult -inputA matrix+orig -inputB image+orig -prefix transformed
3dmatmult -inputA matrix+orig -inputB image+orig \
-prefix transformed -datum float -verb 2
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informational command arguments (execute option and quit):
-help : show this help
-hist : show program history
-ver : show program version
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required command arguments:
-inputA DSET_A : specify first (matrix) dataset
The slices of this dataset might be transformation matrices.
-inputB DSET_B : specify second (matrix) dataset
This dataset might be any image.
-prefix PREFIX : specify output dataset prefix
This will be the name of the product (output) dataset.
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optional command arguments:
-datum TYPE : specify output data type
Valid TYPEs are 'byte', 'short' and 'float'. The default is
that of the inputB dataset.
-verb LEVEL : specify verbosity level
The default level is 1, while 0 is considered 'quiet'.
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* If you need to re-orient a 3D dataset so that the rows, columns
and slices are correct for 3dmatmult, you can use the one of the
programs 3daxialize or 3dresample for this purpose.
* To multiply a constant matrix into a vector at each voxel, the
program 3dmatcalc is the proper tool.
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R. Reynolds (requested by W. Gaggl)
3dmatmult version 0.0, 29 September 2008
compiled: Oct 31 2024
