Metallic nanoparticles are promising agents for increasing the effectiveness of radiation
therapy by making cells more sensitive to radiation. High atomic number nanoparticles …

In radiation-based medical imaging research, computational modeling methods are used to
design and validate imaging systems and post-processing algorithms. Monte Carlo methods …

Background Standardized patient‐specific pretreatment dosimetry planning is mandatory in
the modern era of nuclear molecular radiotherapy, which may eventually lead to …

Background: PET imaging after yttrium-90 (Y-90) radioembolization is challenging because
of the low positron fraction of Y-90 (32× 10− 6). The resulting low number of events can be …

The present study focuses on the determination of the optimal crystal thickness of LaCl3: Ce
and LaBr3: Ce crystal scintillators for Nuclear Medicine Imaging applications. A theoretical …

Objective. We introduce a versatile methodology for the accurate modelling of PET imaging
systems via Monte Carlo simulations, using the Geant4 application for tomographic emission …

Image-based dosimetry-guided radiopharmaceutical therapy has the potential to
personalize treatment by limiting toxicity to organs at risk and maximizing the therapeutic …

Objective. Following previous works on virtual sources model with Generative Adversarial
Network (GAN), we extend the proof of concept for generating back-to-back pairs of gammas …

Objective: A methodology is introduced for the development of an internal dosimetry
prediction toolkit for nuclear medical pediatric applications. The proposed study exploits …

The field of theranostics is rapidly advancing, driven by the goals of enhancing patient care.
Recent breakthroughs in artificial intelligence (AI) and its innovative theranostic applications …