1. Goran Kolarević,
Republic of Srpska, Bosnia and Herzegovina
2. Dražan Jaroš, Centar za radioterapiju, Republic of Srpska, Bosnia and Herzegovina
3. Dejan Ignjatić, Affidea, Internacionalni medicinski centar, Centar za Radioterapiju, Dvanaest beba bb, Banja Luka, Pr, Republic of Srpska, Bosnia and Herzegovina
4. Dragoljub Mirjanić, Akademija nauka i umjetnosti Republike Srpske, Republic of Srpska, Bosnia and Herzegovina
In a transverse computed tomography (CT) image, each pixel corresponds to a specific shade of gray scale or a CT number expressed in Hounsfield units (HU). The CT image is actually a distribution of linear attenuation coefficients (LACμ) in the plane after reconstruction. HU values (normalized to water) in each pixel are defined as: HU(CTnumber) )=tissue-water/water1000. It is known that LAC directly depends on the relative electron density (REDnormalized on water), the atomic number (Z) of the attenuation material and the quality (energy) of the photon beam (80 to 140 kVp at CT) obtained from the CT scanner. HU values, for the human body, are in the range from 79 for lungs (RED is .2), for water (RED is 1), to 85 for dense bone (RED is 1.456), at X-ray tube voltage of 120 KV. There are several phantoms on the market that allow precise correlation of HU with RED for different tissues. The body of the phantom is usually made of „plastic water“ with several alternating positions in which plugs (cylinders) of known RED and mass density can be placed. The CT conversion curve (HU f (RED)), i.e. the conversion of the obtained HU into known values of RED or tissue density, allows us to determine with great reliability which type of tissue it is and whether it is a tumor or healthy tissue.
Ključne rečitestttt :
SIMPOZIJUM B - Biomaterijali i nanomedicina