Bursa Uludağ Üniversitesi Açık Erişim Sistemi
Bursa Uludağ Üniversitesinin araştırma çıktılarının yer aldığı açık erişim sistemidir.
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http://hdl.handle.net/11452/29656| Başlık: | A comprehensive study for mass attenuation coefficients of different parts of the human body through Monte Carlo methods |
| Yazarlar: | Ermiş, Elif Ebru Çeliktaş, Cüneyt Uludağ Üniversitesi/Fen-Edebiyat Fakültesi/Fizik Bölümü. Piliçer, Fatma Belgin Piliçer, Ercan 56194738200 15843878300 |
| Anahtar kelimeler: | Nuclear science & technology Physics Gamma-ray mass attenuation coefficient FLUKA GEANT4 XCOM Photon attenuation Ray-energies Simulation Therapy Toolkit Tissues Water Code Gamma rays Low energy photons XCOM programs Mass attenuation coefficients National institute of standards and technology Theoretical methods Monte Carlo methods |
| Yayın Tarihi: | 4-Eyl-2015 |
| Yayıncı: | Springer |
| Atıf: | Ermiş, E. E. vd. (2016). "A comprehensive study for mass attenuation coefficients of different parts of the human body through Monte Carlo methods". Nuclear Science and Techniques, 27(3). |
| Özet: | The gamma-ray mass attenuation coefficients of blood, bone, lung, eye lens, adipose, tissue, muscle, brain and skin were calculated at different energies (60, 80, 150, 400, 500, 600, 1000, 1250, 1500, and 2000 keV) by various theoretical methods such as FLUKA, GEANT4 Monte Carlo (MC) methods and XCOM program in this work. Calculated coefficients were also compared with the National Institute of Standards and Technology (NIST) values. Obtained results were highly in accordance with each other and NIST values. Our results showed that FLUKA was quite convenient in comparison to GEANT4 in the calculation of the mass attenuation coefficients of the used human body samples for low-energy photons (60, 80, and 150 keV) when compared with the NIST values. |
| URI: | https://doi.org/10.1007/s41365-016-0053-2 https://link.springer.com/article/10.1007/s41365-016-0053-2 http://hdl.handle.net/11452/29656 |
| ISSN: | 1001-8042 2210-3147 |
| Koleksiyonlarda Görünür: | Scopus Web of Science |
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