RTK/Examples/VarianReconstruction: Difference between revisions

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     --geometry geometry.xml \
     --geometry geometry.xml \
     --regexp .*.hnd \
     --regexp .*.hnd \
     --path ../Scan0 \
     --path Scan0 \
     --output slice30.mha \
     --output slice30.mha \
     --verbose \
     --verbose \

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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