Generation of clinical 177Lu SPECT/CT images based on Monte Carlo simulation with GATE

PurposePatient-specific dosimetry in MRT relies on quantitative imaging, pharmacokinetic assessment and absorbed dose calculation. The DosiTest project was initiated to evaluate the uncertainties associated with each step of clinical workflow through a virtual multicentric trial. This work presents generation simulated SPECT datasets based GATE Monte Carlo modelling its corresponding experimental CT image, which can subsequently be processed by commercial image workstations.MethodsThis study considers therapy cycle 6.85 GBq 177Lu-labelled DOTATATE derived from an IAEA-Coordinated Research Project (E23005) “Dosimetry Radiopharmaceutical for personalised patient treatment”. Patient images were acquired GE Infinia-Hawkeye 4 gamma camera using medium energy (ME) collimator. Simulated projections generated time points validated against flattened profiles index. then incorporated into SPECT/CT DICOM envelopes processing their reconstruction within workstation.ResultsGamma index passing rate (2% ? 1 pixel criteria) between 95 98% average 0.28 0.35 among different revealed high similarity images. Image successful HERMES Xeleris workstations, major forward initiation trial images.ConclusionsRealistic 177Lu GATE. These modelled will circulated departments perform order assess entire dosimetric chain.