Practical radiation oncology · 2025
Digitally Reconstructed Radiograph Dosimetry: Introducing a New Application of Digitally Reconstructed Radiographs for Evaluation of Dose Distribution in Radiation Therapy.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Mohammadi Mohammad Yasin, Momennezhad Mehdi, Gholamhosseinian Hamid, Saatchian Erfan, Eskandari Azam, Nasseri Shahrokh
Аннотация
PURPOSE: The digitally reconstructed radiograph (DRR) has traditionally been used for geometric radiation therapy (RT) treatment verification, with no reported dosimetric applications to date. This study aimed to introduce a methodology for the first time, allowing us to derive a dose distribution within an RT treatment plan using the DRR image.
METHODS AND MATERIALS: Initially, the correlation between the pixel values of the DRR image and the depth of the water phantom was established. Subsequently, the relationship between depth and absorbed dose was derived. By combining these 2 equations, the connection between the pixel values of the DRR and the absorbed dose was established. This approach was then used to calculate the dose distribution for homogeneous and RANDO phantoms. To verify the accuracy of this technique, the results were compared with the dose distribution from the treatment planning system.
RESULTS: The comparison of point doses at the isocenter of the RANDO phantom indicated differences of 1% and 2.4% for energies of 6 and 15 MV, respectively. A region-based dose distribution comparison using gamma analysis (3%-3 mm criteria) resulted in agreements of 98% and 95% for energies of 6 and 15 MV, respectively.
CONCLUSIONS: DRR dosimetry is an innovative method that employs DRR images to calculate dose distribution in RT planning, enhancing their traditional geometric use. It operates independently of a treatment planning system, making it a cost-effective solution that can run on personal computers. This approach acts as a supplementary tool, ensuring dosimetric verification and quality control in RT treatments.
METHODS AND MATERIALS: Initially, the correlation between the pixel values of the DRR image and the depth of the water phantom was established. Subsequently, the relationship between depth and absorbed dose was derived. By combining these 2 equations, the connection between the pixel values of the DRR and the absorbed dose was established. This approach was then used to calculate the dose distribution for homogeneous and RANDO phantoms. To verify the accuracy of this technique, the results were compared with the dose distribution from the treatment planning system.
RESULTS: The comparison of point doses at the isocenter of the RANDO phantom indicated differences of 1% and 2.4% for energies of 6 and 15 MV, respectively. A region-based dose distribution comparison using gamma analysis (3%-3 mm criteria) resulted in agreements of 98% and 95% for energies of 6 and 15 MV, respectively.
CONCLUSIONS: DRR dosimetry is an innovative method that employs DRR images to calculate dose distribution in RT planning, enhancing their traditional geometric use. It operates independently of a treatment planning system, making it a cost-effective solution that can run on personal computers. This approach acts as a supplementary tool, ensuring dosimetric verification and quality control in RT treatments.