Difference between revisions of "Modules:PlastimatchDICOMRT"

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{|
 
{|
 
|[[Image:plastimatch_dicomrt_ss.png|thumb|280px|DICOM-RT Structure Set]]
 
|[[Image:plastimatch_dicomrt_ss.png|thumb|280px|DICOM-RT Structure Set]]
−
|[[Image:plastimatch_dicomrt_dose.png|thumb|280px|DICOM-RT Dose (coming soon)]]
+
|[[Image:plastimatch_dicomrt_dose.png|thumb|280px|DICOM-RT Dose]]
 
|}
 
|}
  
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===Module Description===
 
===Module Description===
−
This is the DICOM-RT structure set import module.  It allows you to select a file containing DICOM-RT structure sets, and it creates a 3D Slicer labelmap volume.
+
This is the DICOM / DICOM-RT import module.  It allows you to select a directory containing DICOM-RT structure sets and/or dose, which it will convert into 3D Slicer labelmap and/or scalar image.  This module also loads the DICOM CT image without requiring the need to use the Slicer volume import wizard.
  
−
'''Note''': In a Slicer labelmap, a voxel can only belong to one structure.  However, DICOM-RT allows a region to belong to any number of strucutres.  Therefore, importing DICOM-RT structure sets as Slicer labelmaps will usually result in a loss of data.  This module uses a "last structure wins" strategy for assigning labels to overlapping volumes.
+
'''Note''': In a Slicer, a labelmap voxel can only belong to one structure.  However, DICOM-RT allows a region to belong to any number of strucutres.  Therefore, importing DICOM-RT structure sets as Slicer labelmaps will usually result in a loss of data.  This module uses a "last structure wins" strategy for assigning labels to overlapping volumes.
  
−
'''Note''': Because DICOM-RT structures are specified as polylines, there is a small loss of fidelity when they are converted into rasterized volumes.  You may minimizing this effect by creating high resolution lablemaps, such as with 1 mm voxels.
+
'''Note''': Because DICOM-RT structures are specified as polylines, there is a small loss of fidelity when they are converted into rasterized volumes.
  
 
== Usage ==
 
== Usage ==
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{|
 
{|
−
|[[Image:plastimatch_dicomrt_tutorial_ppt.png|thumb|280px|[http://forge.abcd.harvard.edu/gf/download/frsrelease/110/1025/3D_Slicer_Plastimatch_DICOM_RT_Tutorial.ppt Download tutorial]]]
+
|[[Image:plastimatch_dicomrt_tutorial_ppt.png|thumb|280px|[http://forge.abcd.harvard.edu/gf/download/frsrelease/110/1568/3D_Slicer_Plastimatch_DICOM_RT_Tutorial_2010_12_28.pdf Download tutorial (PDF)]]]
 
|[[Image:plastimatch_dicomrt_ss.png|thumb|230px|[http://forge.abcd.harvard.edu/gf/download/frsrelease/85/934/chest-phantom-dicomrt-xio-4.33.02.tar.gz (Download tutorial data)]]]
 
|[[Image:plastimatch_dicomrt_ss.png|thumb|230px|[http://forge.abcd.harvard.edu/gf/download/frsrelease/85/934/chest-phantom-dicomrt-xio-4.33.02.tar.gz (Download tutorial data)]]]
 
|}
 
|}
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* '''Input/Output panel:'''
 
* '''Input/Output panel:'''
 
** '''Input DICOM directory:'''  Here you choose any file in the directory which contains the DICOM-RT data.
 
** '''Input DICOM directory:'''  Here you choose any file in the directory which contains the DICOM-RT data.
−
** '''Reference Volume (to set size):''' Here you choose any loaded volume.  The import module will create a labelmap at the same resolution and pixel spacing as the reference volume that you choose here.  This field is required.
+
** '''Reference Volume (to set size):''' This is an optional field.  But if your dicom directory does not contain a CT, it is required.  Here you choose any loaded volume.  The import module will create a labelmap at the same resolution and pixel spacing as the reference volume that you choose here.
−
** '''Output Labelmap:''' Here you choose where to put the output labelmap.  Unless you want to replace an existing volume, you should choose "Create New Volume".
+
** '''Output Image:''' Here you choose where to put the output CT image.  Unless you want to replace an existing volume, you should choose "Create New Volume".
 +
** '''Output Labelmap:''' Here you choose where to put the output DICOM-RT structure set labelmap.  Unless you want to replace an existing volume, you should choose "Create New Volume".
 +
** '''Output Dose Image:''' Here you choose where to put the output DICOM-RT dose image.  Unless you want to replace an existing volume, you should choose "Create New Volume".
 
|[[Image:plastimatch_dicomrt_gui.png|thumb|280px|User Interface]]
 
|[[Image:plastimatch_dicomrt_gui.png|thumb|280px|User Interface]]
 
|}
 
|}
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== More Information ==  
 
== More Information ==  
 +
 +
===About plastimatch===
 +
Plastimatch is an open source software for deformable image registration. It is designed for high-performance volumetric registration of medical images, such as X-ray computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). Software features include:
 +
 +
* B-spline method for deformable image registration (GPU and multicore accelerated)
 +
* Demons method for deformable image registration (GPU accelerated)
 +
* ITK-based algorithms for translation, rigid, affine, demons, and B-spline registration
 +
* Pipelined, multi-stage registration framework with seamless conversion between most algorithms and transform types
 +
* Landmark-based deformable registration using thin-plate splines for global registration
 +
* Landmark-based deformable registration using radial basis functions for local corrections
 +
* Broad support for 3D image file formats (using ITK), including Dicom, Nifti, NRRD, MetaImage, and Analyze
 +
* Dicom and DicomRT import and export
 +
* XiO import and export
 +
* Plugins for 3D Slicer
 +
 +
Plastimatch also features two handy utilities which are not directly related to image registration:
 +
 +
* FDK cone-beam CT reconstruction (GPU and multicore accelerated)
 +
* Digitally reconstructed radiograph (DRR) generation (GPU and multicore accelerated)
  
 
===Acknowledgment===
 
===Acknowledgment===

Latest revision as of 16:58, 28 December 2010

Home < Modules:PlastimatchDICOMRT

Return to Slicer 3.6 Documentation


Plastimatch > DICOM-RT Import

DICOM-RT Structure Set
DICOM-RT Dose

General Information

Module Type & Category

Type: CLI

Category: Plastimatch

Authors, Collaborators & Contact

  • Authors: See AUTHORS.TXT contained within the package
  • Contact: Greg Sharp, Department of Radiation Oncology, Massachusetts General Hospital (gcsharp@partners.org)
  • Web page: http://plastimatch.org

Module Description

This is the DICOM / DICOM-RT import module. It allows you to select a directory containing DICOM-RT structure sets and/or dose, which it will convert into 3D Slicer labelmap and/or scalar image. This module also loads the DICOM CT image without requiring the need to use the Slicer volume import wizard.

Note: In a Slicer, a labelmap voxel can only belong to one structure. However, DICOM-RT allows a region to belong to any number of strucutres. Therefore, importing DICOM-RT structure sets as Slicer labelmaps will usually result in a loss of data. This module uses a "last structure wins" strategy for assigning labels to overlapping volumes.

Note: Because DICOM-RT structures are specified as polylines, there is a small loss of fidelity when they are converted into rasterized volumes.

Usage

Tutorials

Download tutorial (PDF)
(Download tutorial data)

Quick Tour of Features and Use

  • Input/Output panel:
    • Input DICOM directory: Here you choose any file in the directory which contains the DICOM-RT data.
    • Reference Volume (to set size): This is an optional field. But if your dicom directory does not contain a CT, it is required. Here you choose any loaded volume. The import module will create a labelmap at the same resolution and pixel spacing as the reference volume that you choose here.
    • Output Image: Here you choose where to put the output CT image. Unless you want to replace an existing volume, you should choose "Create New Volume".
    • Output Labelmap: Here you choose where to put the output DICOM-RT structure set labelmap. Unless you want to replace an existing volume, you should choose "Create New Volume".
    • Output Dose Image: Here you choose where to put the output DICOM-RT dose image. Unless you want to replace an existing volume, you should choose "Create New Volume".
User Interface

Development

Notes from the Developer(s)

Developer-oriented documentation is found on the plastimatch web site: http://plastimatch.org

Dependencies

This module has no dependencies.

Tests

Plastimatch features approximately 100 test cases.

Known bugs

Usability issues

Please report usability issues to the bug tracker.

Source code & documentation

We recommended to download the latest source code from subversion:

Documentation:

More Information

About plastimatch

Plastimatch is an open source software for deformable image registration. It is designed for high-performance volumetric registration of medical images, such as X-ray computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). Software features include:

  • B-spline method for deformable image registration (GPU and multicore accelerated)
  • Demons method for deformable image registration (GPU accelerated)
  • ITK-based algorithms for translation, rigid, affine, demons, and B-spline registration
  • Pipelined, multi-stage registration framework with seamless conversion between most algorithms and transform types
  • Landmark-based deformable registration using thin-plate splines for global registration
  • Landmark-based deformable registration using radial basis functions for local corrections
  • Broad support for 3D image file formats (using ITK), including Dicom, Nifti, NRRD, MetaImage, and Analyze
  • Dicom and DicomRT import and export
  • XiO import and export
  • Plugins for 3D Slicer

Plastimatch also features two handy utilities which are not directly related to image registration:

  • FDK cone-beam CT reconstruction (GPU and multicore accelerated)
  • Digitally reconstructed radiograph (DRR) generation (GPU and multicore accelerated)

Acknowledgment

National Institutes of Health
NIH / NCI 6-PO1 CA 21239
Federal share of program income earned by MGH on C06CA059267

Progetto Rocca Foundation
A collaboration between MIT and Politecnico di Milano

References

  • G Sharp et al. "Plastimatch - An open source software suite for radiotherapy image processing," Proceedings of the XVIth International Conference on the use of Computers in Radiotherapy, May, 2010.
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