Paper
19 March 2014 Improved-resolution real-time skin-dose mapping for interventional fluoroscopic procedures
Author Affiliations +
Abstract
We have developed a dose-tracking system (DTS) that provides a real-time display of the skin-dose distribution on a 3D patient graphic during fluoroscopic procedures. Radiation dose to individual points on the skin is calculated using exposure and geometry parameters from the digital bus on a Toshiba C-arm unit. To accurately define the distribution of dose, it is necessary to use a high-resolution patient graphic consisting of a large number of elements. In the original DTS version, the patient graphics were obtained from a library of population body scans which consisted of larger-sized triangular elements resulting in poor congruence between the graphic points and the x-ray beam boundary. To improve the resolution without impacting real-time performance, the number of calculations must be reduced and so we created software-designed human models and modified the DTS to read the graphic as a list of vertices of the triangular elements such that common vertices of adjacent triangles are listed once. Dose is calculated for each vertex point once instead of the number of times that a given vertex appears in multiple triangles. By reformatting the graphic file, we were able to subdivide the triangular elements by a factor of 64 times with an increase in the file size of only 1.3 times. This allows a much greater number of smaller triangular elements and improves resolution of the patient graphic without compromising the real-time performance of the DTS and also gives a smoother graphic display for better visualization of the dose distribution.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vijay K. Rana, Stephen Rudin, and Daniel R. Bednarek "Improved-resolution real-time skin-dose mapping for interventional fluoroscopic procedures", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 903340 (19 March 2014); https://doi.org/10.1117/12.2042519
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KEYWORDS
Visualization

Skin

3D modeling

X-rays

3D displays

Binary data

MATLAB

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