研究目的
To measure the S-value for calculating the absorbed dose of each organ and tumor using a torso phantom and Monte Carlo simulation based on CT data, as existing methods cannot calculate absorbed dose for tumors.
研究成果
The study successfully developed an image-based Monte Carlo simulation method for absorbed dose evaluation in organs and tumors, showing applicability for regions of varying size and location with an average difference of 12.3% from measured values, enabling personalized dosimetry and tumor dose assessment.
研究不足
The method may have limitations in accuracy as indicated by the 12.3% difference between simulated and measured doses; potential areas for optimization include improving segmentation accuracy and simulation parameters for better precision.
1:Experimental Design and Method Selection:
The study uses a torso phantom to simulate human organs and tumors, injects Cu-64 radioisotope, and employs Monte Carlo simulation (MCNP code) for absorbed dose calculation based on CT and PET data.
2:Sample Selection and Data Sources:
A torso phantom with lung, liver, spine, cylinder, and spherical tumors is used; CT and PET images are acquired using a PET/CT scanner.
3:List of Experimental Equipment and Materials:
Torso phantom, Cu-64 radioisotope (
4:85 MBq), glass dosimeter (GD-302M, AGC Techno Glass Co.Ltd), PET/CT scanner (Biograph TruePoint, SIEMENS), MCNP code for simulation. Experimental Procedures and Operational Workflow:
Inject Cu-64 into phantom, acquire CT and PET images, segment organs and tumors using mean-based and manual methods, measure radioactivity over time to calculate residence time, perform Monte Carlo simulation with spatial coordinates, voxel size, and density, calculate S-values and absorbed doses, compare with glass dosimeter measurements.
5:Data Analysis Methods:
Use equations for cumulative radioactivity and residence time, Monte Carlo simulation for energy distribution and S-values, absorbed dose calculation from S-values and residence times, statistical comparison of simulated and measured doses.
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