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Sir Charles Gairdner Hospital
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
The primary objective of this study was to develop and validate a machine learning (ML) model to predict gamma pass rates (GPR) for patient-specific quality assurance (PSQA), with the ultimate goal of advancing this model into an open-source tool that can sup...
To determine if geometric metrics (Dice Similarity Coefficient, DSC) are reliable predictors of dosimetric consistency.
To establish the feasibility and a development pathway for a fully mobile radiotherapy facility to improve treatment access for rural and remote Western Australians.
To investigate the feasibility and potential benefits of biologically optimised treatment planning (BiRT) utilizing heterogeneous focal-boost prescriptions based on patient-specific cell density distributions. This study compares conventional high-dose-rate b...
To assess the feasibility of using radiomics features from dynamic FET imaging parameterizations as potential biomarkers of glioblastoma (GBM) treatment response by evaluating the repeatability of parametric-map radiomic features from dynamic 18F-FET PET data...
Radiotherapy quality assurance (RTQA) of target volume delineation is critical in clinical trials to ensure protocol adherence. Manual real-time review is resource-intensive and often limited to a subset of patients. This study evaluates the feasibility of au...