Statistical analysis to establish the relationship between radiation consumption and energy use for medical x-rays
Current methods for estimating the amount of radiation used to produce an X-ray image are poor. Knowing this amount is an essential step in the development of a complete life-cycle analysis (LCA) of medical imaging procedures. The work presented is the outcome of research that employs statistical and probabilistic methods to process an image from an actual X-ray to determine a more accurate estimate of radiation used to create that image. The X-ray source, the interaction of the X-ray photons from source to target, and the interaction between photons and soft and hard tissue were simulated to obtain a result. The level of radiation absorbed by the patient is described using a correlation function between a non-filtered X-ray image and a filtered X-ray image.
Poster project completed at the Wichita State University Department of Psychology. Presented at the 10th Annual Capitol Graduate Research Summit, Topeka, KS, February 14, 2013.