AIMC Topic: Radiation Protection

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Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

IEEE transactions on bio-medical engineering
OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic re...

RAPTOR-AI: An open-source AI powered radiation protection toolkit for radioisotopes.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Artificial intelligence (AI) has gained significant attention in various scientific fields due to its ability to process large datasets. In nuclear radiation physics, while AI presents exciting opportunities, it cannot replace physics-based models es...

Robotic radiation shielding system reduces radiation-induced DNA damage in operators performing electrophysiological procedures.

Scientific reports
Fluoroscopically guided electrophysiology (EP) procedures expose operators to low doses of ionizing radiation, which can induce DNA double-strand breaks (DSBs) and raises increasing concerns regarding potential health risks. A novel robotic radiation...

RadField3D: a data generator and data format for deep learning in radiation-protection dosimetry for medical applications.

Journal of radiological protection : official journal of the Society for Radiological Protection
In this research work, we present our open-source Geant4-based Monte-Carlo simulation application, called RadField3D, for generating three-dimensional radiation field datasets for dosimetry. Accompanying, we introduce a fast, machine-interpretable da...

Use of Artificial Intelligence to Reduce Radiation Exposure at Fluoroscopy-Guided Endoscopic Procedures.

The American journal of gastroenterology
OBJECTIVES: Exposure to ionizing radiation remains a hazard for patients and healthcare providers. We evaluated the utility of an artificial intelligence (AI)-enabled fluoroscopy system to minimize radiation exposure during image-guided endoscopic pr...