Abstract
X-ray examinations performed in medical and industrial fields are based on qualitative evaluation. There is the possibility to create a new diagnostic method using quantitative images produced with an energy resolving photon-counting detector (ERPCD). Because most of the objects targeted for X-ray examination are composed of soft-tissue and bone, it may be possible to perform a new quantitative analysis if corresponding X-ray images can be extracted. This study aims to develop an algorithm for generating X-ray images which can provide quantitative information using an ERPCD. Previously, we have developed an ERPCD scanner having three energy bins and succeeded to derive an effective atomic number (Z <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">eff</inf> ) image. In this study, we propose a methodology to extract mass thickness (ρt) images related to soft-tissue and bone. We used polychromatic X-rays for this analysis in which both the beam hardening effect and the detector response were properly corrected and then succeeded in treating the amount of measured X-ray attenuation as if it were measured using monochromatic X-rays. In order to evaluate our methodology, we measured composite substances composed of aluminum and acrylic. The methodology was also demonstrated its viability by applying it to fish images.
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