Development and verification of an automated voxel dosimetry algorithm for radionuclide diagnostics

The problem of internal dosimetry in nuclear medicine is the need for an accurate assessment of the doses absorbed by the patient's organs and tissues as a result of the distribution of radiopharmaceuticals. Standard methods often use averaged models that do not take into account individual features of anatomy and physiology. This can lead to significant errors in dose calculations and, as a result, to an underestimation of possible risks or an overestimation of the effectiveness of the procedure. An urgent task is to introduce personalized approaches based on imaging data and biokinetics of a particular patient. Work purpose – the purpose of this study is to develop and implement a personalized approach to internal patient dosimetry in radionuclide diagnostics based on individual anatomical and biokinetic data. This will improve the accuracy of the assessment of the distribution and accumulated radiation dose in organs and tissues, improve the assessment of radiation risks and optimize diagnostic protocols. An algorithm for personalized patient dosimetry of radionuclide diagnostics has been developed and implemented. The calculation results are verified with the published results. The developed algorithm makes it possible to increase the accuracy of the assessment of dose loads on the patient's organs and tissues by taking into account individual biokinetic and anatomical data. This contributes to a more accurate assessment of radiation risks, improved planning of diagnostic and therapeutic procedures, and can also be used to optimize radiopharmaceutical doses in clinical practice.