AIMC Topic: Iridium Radioisotopes

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Estimating blurless and noise-free Ir-192 source images from gamma camera images for high-dose-rate brachytherapy using a deep-learning approach.

Biomedical physics & engineering express Nov 23, 2023
. Precise monitoring of the position and dwell time of iridium-192 (Ir-192) during high-dose-rate (HDR) brachytherapy is crucial to avoid serious damage to normal tissues. Source imaging using a compact gamma camera is a potential approach for monito...
Deep Learning Brachytherapy Gamma Cameras Iridium Radioisotopes
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RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy Via Deep Learning.

International journal of radiation oncology, biology, physics May 12, 2020
PURPOSE: Detailed and accurate absorbed dose calculations from radiation interactions with the human body can be obtained with the Monte Carlo (MC) method. However, the MC method can be slow for use in the time-sensitive clinical workflow. The aim of...
Humans Neural Networks, Computer Retrospective Studies Female Uterine Cervical Neoplasms Male Deep Learning Prostatic Neoplasms Prostate Rectum Colon, Sigmoid Organs at Risk Radiotherapy Planning, Computer-Assisted Brachytherapy Radiotherapy Dosage Monte Carlo Method Urinary Bladder Iridium Radioisotopes
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