학술논문

Development of a patient-specific dosimetry estimation system in nuclear medicine examination
Document Type
Conference
Source
2011 2nd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and their Applications Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), 2011 2nd International Conference on. :1-5 Jun, 2011
Subject
Nuclear Engineering
Power, Energy and Industry Applications
Components, Circuits, Devices and Systems
Phantoms
Positron emission tomography
Nuclear medicine
Estimation
Photonics
Liver
Language
Abstract
The purpose of this study is to develop a patient-specific dosimetry estimation system in nuclear medicine examination using a SimSET-based Monte Carlo code. We added a dose deposition routine to store the deposited energy of the photons during their flights in SimSET and developed a user-friendly interface for reading PET and CT images. Dose calculated on ORNL phantom was used to validate the accuracy of this system. The S values for 99m Tc, 18 F and 131 I obtained by the system were compared to those from the MCNP4C code and OLINDA. The ratios of S values computed by this system to those obtained with OLINDA for various organs were ranged from 0.93 to 1.18, which are comparable to that obtained from MCNP4C code (0.94 to 1.20). The average ratios of S value were 0.99±0.04, 1.03±0.05, and 1.00±0.07 for isotopes 131 I, 18 F, and 99m Tc, respectively. The simulation time of SimSET was two times faster than MCNP4C's for various isotopes. A 3D dose calculation was also performed on a patient data set with PET/CT examination using this system. Results from the patient data showed that the estimated S values using this system differed slightly from those of OLINDA for ORNL phantom. In conclusion, this system can generate patient-specific dose distribution and display the isodose curves on top of the anatomic structure through a friendly graphic user interface. It may also provide a useful tool to establish an appropriate dose-reduction strategy to patients in nuclear medicine environments.