Computed tomography
From UCL HEP PBT Wiki
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This tutorial will based on the DICOM GEANT4 example originally developed by Louis Archambault, Luc Beaulieu and Vincent Hubert-Tremblay. In this example a list of DICOM files (.dcm) are converted to ASCII files (.g4dcm) and binary (.g4bin) that can be read by GEANT4. Then, these files are used by GEANT4 to construct patient geometry. The geometry is constructed by voxelizing computed tomography data. Four navigation algorithms are available to create the voxel geometry: G4SmartVoxel, G4VNestedParameterisation, G4RegularNavigation and G4Replica. In this tutorial we investigate the different geometry implementations. | This tutorial will based on the DICOM GEANT4 example originally developed by Louis Archambault, Luc Beaulieu and Vincent Hubert-Tremblay. In this example a list of DICOM files (.dcm) are converted to ASCII files (.g4dcm) and binary (.g4bin) that can be read by GEANT4. Then, these files are used by GEANT4 to construct patient geometry. The geometry is constructed by voxelizing computed tomography data. Four navigation algorithms are available to create the voxel geometry: G4SmartVoxel, G4VNestedParameterisation, G4RegularNavigation and G4Replica. In this tutorial we investigate the different geometry implementations. | ||
| - | + | The DICOM images pixel values represent Hounsfield numbers which are converted to density according to the [http://www.hep.ucl.ac.uk/pbt/RadiotherapyWorkbook/skins/common/images/DICOM/CT2Density.dat Hounsfield scale]. | |
| + | Then, the densities are converted to material type according to the information in the [http://www.hep.ucl.ac.uk/pbt/RadiotherapyWorkbook/skins/common/images/DICOM/Materials.txt file]. | ||
A simple monenergetic electron beam is simulated inside the patient. The output of the example is a text file with dose deposited in several voxels. | A simple monenergetic electron beam is simulated inside the patient. The output of the example is a text file with dose deposited in several voxels. | ||
