Program Information
A System for Automatically Calculating Organ and Effective Dose for Fluoroscopically-Guided Procedures
Z Xiong*, s vijayan , V Rana , S Rudin , D Bednarek , Toshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, New York
Presentations
MO-FG-CAMPUS-I-11 (Monday, July 13, 2015) 5:30 PM - 6:00 PM Room: Exhibit Hall
Purpose:A system was developed that automatically calculates the organ and effective dose for individual fluoroscopically-guided procedures using a log of the clinical exposure parameters.
Methods:We have previously developed a dose tracking system (DTS) to provide a real-time color-coded 3D-mapping of skin dose. This software produces a log file of all geometry and exposure parameters for every x-ray pulse during a procedure. The data in the log files is input into PCXMC, a Monte Carlo program that calculates organ and effective dose for projections and exposure parameters set by the user. We developed a MATLAB program to read data from the log files produced by the DTS and to automatically generate the definition files in the format used by PCXMC. The processing is done at the end of a procedure after all exposures are completed. Since there are thousands of exposure pulses with various parameters for fluoroscopy, DA and DSA and at various projections, the data for exposures with similar parameters is grouped prior to entry into PCXMC to reduce the number of Monte Carlo calculations that need to be performed.
Results:The software developed automatically transfers data from the DTS log file to PCXMC and runs the program for each grouping of exposure pulses. When the dose from all exposure events are calculated, the doses for each organ and all effective doses are summed to obtain procedure totals. For a complicated interventional procedure, the calculations can be completed on a PC without manual intervention in less than 30 minutes depending on the level of data grouping.
Conclusion:This system allows organ dose to be calculated for individual procedures for every patient without tedious calculations or data entry so that estimates of stochastic risk can be obtained in addition to the deterministic risk estimate provided by the DTS.
Funding Support, Disclosures, and Conflict of Interest: Partial support from NIH grant R01EB002873 and Toshiba Medical Systems Corp.
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