RTK/Examples/VarianReconstruction: Difference between revisions
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(Created page with "== Varian Reconstruction == The first step before we can proceed with our reconstruction is to convert Varian's geometry into RTKs format using a command line tool. In order...") |
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2. Run the application to convert Varian's geometry into RTKs: | 2. Run the application to convert Varian's geometry into RTKs: | ||
rtkvarianobigeometry --xml_file ProjectionInfo.xml --path Scan0/ --regexp Proj_.*.hnd -o varianGeometry | |||
3. Reconstruct varian-data using RTK applications such as rtkfdk algorithm. In this case we are going to reconstruct just a slice (30) of the whole volume: | 3. Reconstruct varian-data using RTK applications such as rtkfdk algorithm. In this case we are going to reconstruct just a slice (30) of the whole volume: |
Revision as of 06:29, 24 December 2014
Varian Reconstruction
The first step before we can proceed with our reconstruction is to convert Varian's geometry into RTKs format using a command line tool. In order to carry out the reconstruction you just need to follow these simple steps:
1. Download Varian dataset, Varian-data
2. Run the application to convert Varian's geometry into RTKs:
rtkvarianobigeometry --xml_file ProjectionInfo.xml --path Scan0/ --regexp Proj_.*.hnd -o varianGeometry
3. Reconstruct varian-data using RTK applications such as rtkfdk algorithm. In this case we are going to reconstruct just a slice (30) of the whole volume:
rtkfdk \ --geometry geometry.xml \ --regexp .*.hnd \ --path ../Scan0 \ --output slice30.mha \ --verbose \ --spacing 0.25,0.25,0.25 \ --dimension 1024,1,1024 \ --origin -127.875,30,-127.875
4. We apply the FOV (field of view) filter, in order to discard everything that is outside our FOV:
rtkfieldofview \ --geometry geometry.xml \ --regexp .*.hnd \ --path ../Scan0 \ --reconstruction slice30.mha \ --output slice30.mha \ --verbose
5. Finally you can visualize your result with e.g. VV and it should look like the image below:
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