Deep Learning–Assisted Optimization of Y-90 Bremsstrahlung SPECT Using Multi-Energy-Window Monte Carlo Simulations
Artificial intelligence-based denoising has shown much promise in improving signal-to-noise in medical imaging. Our goal was to optimize Y-90 bremsstrahlung SPECT imaging following transarterial radioembolization (TARE) using a deep learning-based denoising m...
Proffered Program · Radiopharmaceuticals, Theranostics, and Nuclear Medicine