We previously developed an automatic catheter reconstruction model (CorneliUS) that achieves approximately 93% needle detection efficiency in post‑implant 3D ultrasound images for prostate HDR brachytherapy. The remaining undetected (AI‑missed) needles are ty...
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Hossein Afsharpour, PhD
Princess Margaret Cancer Centre
Enhancing HDR Prostate Brachytherapy Deep Learning Needle Reconstruction with Live Ultrasound-Assisted Instance Detection
Poster Program · Therapy Physics
Implementation and Analysis of Deep Learning Needle Reconstruction Tool (CorneliUS) for US-Guided HDR Prostate Brachytherapy
To validate and assess the performance of an AI-assisted tool, CorneliUS, for needle reconstruction in high dose rate (HDR) ultrasound-guided prostate brachytherapy in an independent clinical setting.
Poster Program · Therapy Physics
Monte Carlo Modelling of Well Chamber Response for Calibration of Diffusing Alpha-Emitter Radiation Therapy Brachytherapy Seeds
Diffusing Alpha-emitter Radiation Therapy (‘Alpha DaRT’) is a novel modality for treating solid tumours with alpha particles from the decay of 224Ra. This study aims to model well chamber response to derive activity calibration coefficients for simple and rap...
Poster Program · Therapy Physics