Gaussian Process Regression of HDR Prostate Biopsy Dose for Improved Modelling of Localization Induced Uncertainty
To develop a Gaussian process regression (GPR) framework that treats along-core HDR prostate brachytherapy dose as a spatially correlated signal, in order to denoise voxel-level dose and dose-uncertainty summaries used for Monte Carlo biopsy dose quality assu...
Matthew Jonathan Muscat, MS
Therapy Physics
Patient-Informed Lesion Insertion Framework for Realistic Quantitative Evaluation In PET Imaging
Accurate quantitative assessment in positron emission tomography (PET) is essential for reliable lesion characterization and therapy response evaluation. Quantitative accuracy is conventionally investigated using physical phantoms or numerical simulations; ho...
Narges Aghakhanolia, PhDBehnam Panahi, PhD
Radiopharmaceuticals, Theranostics, and Nuclear Medicine