This page contains the benchmarks for the CASToR 2.xx versions. Each benchmark consists in a dataset and a reference image that is a reconstruction of this dataset. A script (provided for both Unix and Windows systems) can be used to reconstruct the dataset with your own CASToR installation and check the consistency between the reconstructed image and the reference image. The consistency check is performed by a program that analyzes the differences of voxels' values and sends a warning when beyond a preset value.
These benchmarks can be a good starting point to have a quick look at the input file formats as well as the available options.
PET benchmarks:
Histogram
This benchmark is based on a real acquisition of a whole-body 18F-FDG TOF-PET data set acquired on a SIGNA PET/MR system. The histogram data file includes azimuthal and axial compressions and contains all corrections (normalization, random, scatter and attenuation).
List-mode
This benchmark is based on a real acquisition of a whole-body 18F-FDG TOF-PET data set acquired on a SIGNA PET/MR system. The list-mode data file contains all corrections (normalization, random, scatter and attenuation). A normalization data file is provided to precompute the sensitivity image. The benchmark will test the consistency of both the reconstructed and the sensitivity images.
SPECT benchmark:
Histogram
This benchmark is based on a real acquisition of a Jaszczak phantom data set filled with 99mTc, using a dual-head SPECT/CT system with a parallel collimator. An attenuation map is provided in order to perform attenuation correction.
CT benchmark:
Histogram
This benchmark is based on a simulated 52 keV acquisition of a digital phantom data set, using a cone-beam CT (CBCT) system. The simulated phantom is composed of a cylinder of water containing inserts made of lung, blood, brain and polystyrene materials, and a central vacuum insert.