Dual-energy CT-based stopping power prediction for dental materials in particle therapy.

ABSTRACT: Radiotherapy with protons or light ions can offer accurate and precise treatment delivery. Accurate knowledge of the stopping power ratio (SPR) distribution of the tissues in the patient is crucial for improving dose prediction in patients during planning. However, materials of uncertain stoichiometric composition such as dental implant and restoration materials can substantially impair particle therapy treatment planning due to related SPR prediction uncertainties. This study investigated the impact of using dual-energy computed tomography (DECT) imaging for characterizing and compensating for commonly used dental implant and restoration materials during particle therapy treatment planning. Radiological material parameters of ten common dental materials were determined using two different

SUBMITTER: Longarino FK 

PROVIDER: S-EPMC10402687 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature