Physics and Imaging in Radiation Oncology · 2017 · 24 citations · 29 references
MedicineNuclear EngineeringRadiologyDiagnostic ImagingDiagnostic RadiologyRadiation DosimetryComputed TomographyComputed Tomography PhysicsNuclear Medicine ImagingPhantom DosimetryProton DosimetryRadiation Imaging SystemsAccuracyDifference MapsDual-energy Computed TomographyDual-energy ImagingMaterial DecompositionProton Dose CalculationRadiation Dose EstimationRadon Transform
Background and Purpose Several strategies for estimating stopping power ratio (SPR) from dual-energy CT (DECT) have been proposed to improve accuracy of proton dose calculations. DECT methods can mainly be categorized into projection-based methods, where material decomposition is performed prior to image reconstruction, and image-based methods, where decomposition takes place after image reconstruction. With the advent of photon-counting and dual-layer technology, projection-based methods could be considered for SPR estimation. In this simulation-based study we compared the SPR accuracy of one projection- and three image-based DECT methods. Materials and Methods X-ray CT projections of the female ICRP phantom were simulated using two different X-ray spectra with a realistic detector response and noise levels. ICRP slices at four different locations were selected. Reference SPR-maps were computed at 200MeV. The SPR comparison was based on percentage deviation inside ROIs and relative range errors calculated with Radon transform of difference maps. Results SPR root-mean-square errors (RMSE) over the selected ROIs were 0.54% for the projection-based method and 0.68%, 0.61% and 0.70% for the three image-based methods. The RMSE for the relative range errors were slightly smaller for the projection-based approach, but close to zero for all decomposition domains as positive and negative errors averaged out over the slice. Conclusions SPR estimations with the projection-based method produced slightly better results (though not statistically significant) than the three image-based methods used in this simulation-based study, therefore, with the advent of technological developments, projection-based methods could be considered for SPR estimation if projection data is available.
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A Simplex Method for Function Minimization
J. A. Nelder, R. Mead · The Computer Journal · 1965 · 28.9K citations
GATE: a simulation toolkit for PET and SPECT
S Jan, G. Santin, D. Strul et al. · Physics in Medicine and Biology · 2004 · 2.1K citations · Full text