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[[Documentation-3.6|Return to Slicer 3.6 Documentation]]
__NOTOC__
===Module Name===
Resample Volume

== General Information ==
===Module Type & Category===

Type: CLI

Category: Filtering

===Authors, Collaborators & Contact===
* Author: Bill Lorensen
* Contact: bill.lorensen at gmail.com

===Module Description===
Resampling an image is an important task in image analysis.
It is especially important in the frame of image registration.
This module implements image resampling through the use of itk
Transforms. This module uses an Identity Transform. The resampling is
controlled by the Output Spacing. 'Resampling' is performed in space
coordinates, not pixel/grid coordinates. It is quite important to ensure
that image spacing is properly set on the images involved. The
interpolator is required since the mapping from one space to the other
will often require evaluation of the intensity of the image at non-grid
positions. Several interpolators are available: linear, nearest neighbor
and five flavors of sinc. The sinc interpolators, although more precise,
are much slower than the linear and nearest neighbor interpolator. To
resample label volumnes, nearest neighbor interpolation should be used
exclusively.

== Usage ==
<pre>
ResampleVolume [--processinformationaddress
<std::string>] [--xml] [--echo] [-i
<linear|nearestNeighbor|hamming
|cosine|welch|lanczos|blackman>]
[-s <std::vector<float>>] [--]
[--version] [-h] <std::string>
<std::string>
Where:
--processinformationaddress <std::string>
Address of a structure to store process information (progress, abort,
etc.). (default: 0)

--xml
Produce xml description of command line arguments (default: 0)

--echo
Echo the command line arguments (default: 0)

-i <linear|nearestNeighbor|hamming|cosine|welch|lanczos|blackman>,
--interpolation <linear|nearestNeighbor|hamming|cosine|welch|lanczos
|blackman>
Sampling algorithm (linear, nearest neighbor or windowed sinc). There
are several sinc algorithms available as described in the following
publication: Erik H. W. Meijering, Wiro J. Niessen, Josien P. W. Pluim
, Max A. Viergever: Quantitative Comparison of Sinc-Approximating
Kernels for Medical Image Interpolation. MICCAI 1999, pp. 210-217.
Each window has a radius of 3; (default: linear)

-s <std::vector<float>>, --spacing <std::vector<float>>
Spacing along each dimension (0 means use input spacing) (default: 0,0
,0)

--, --ignore_rest
Ignores the rest of the labeled arguments following this flag.

--version
Displays version information and exits.

-h, --help
Displays usage information and exits.

<std::string>
(required) Input volume to be resampled

<std::string>
(required) Resampled Volume
</pre>

== Development ==
===Source code & documentation===

Source Code: [http://www.na-mic.org/ViewVC/index.cgi/trunk/Applications/CLI/ResampleVolume.cxx?view=co ResampleVolume.cxx]

XML Description: [http://www.na-mic.org/ViewVC/index.cgi/trunk/Applications/CLI/ResampleVolume.xml?view=co ResampleVolume.xml]

Usage:

== More Information ==

===Acknowledgment===
This work is part of the National Alliance for Medical Image
Computing (NAMIC), funded by the National Institutes of Health
through the NIH Roadmap for Medical Research, Grant U54 EB005149.
Information on the National Centers for Biomedical Computing
can be obtained from [http://www.ncbcs.org/ National Centers for Biomedical Computing].

===References===

Erik H. W. Meijering, Wiro J. Niessen, Josien P. W. Pluim, Max A. Viergever: ''Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation''. MICCAI 1999, pp. 210-217.[http://www.imagescience.org/meijering/publications/download/miccai1999.pdf (pdf)]
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Modules:ResampleVolume-Documentation-3.6 - Revision history

Lorensen: Created page with 'Return to Slicer 3.6 Documentation __NOTOC__ ===Module Name=== Resample Volume == General Information == ===Module Type & Category=== Type: CLI Category:…'

Lorensen: Created page with 'Return to Slicer 3.6 Documentation NOTOC ===Module Name=== Resample Volume == General Information == ===Module Type & Category=== Type: CLI Category:…'