Utilization of an energy-resolving detection system for mammography applications : a preliminary study

• Autorzy: Taha Eslam M. , Elmoujarkach Ezzat A. , Balamesh Ahmed , Alzaidi Samir A. , Alhawsawi Abdulsalam M.

Identyfikatory

DOI

10.2478/nuka-2022-0003

• Języki publikacji: EN

Abstrakty

EN

Breast cancer remains one of the major causes of mortality among female cancer patients. This fact caused a spark in the medical field, which in turn helped to improve the diagnostic and treatment of breast cancer patients over the years making this field always active with new ideas and innovative methods. In our study, a new method was explored using an energy-resolving detection system made from a NaI (Tl) scintillation detector to detect the gamma photons from an Am-241 radiation source to try and construct an image by scanning the American College of Radiology (ACR) mammography phantom. In addition to the experimental work, a Geant4 Application for Tomographic Emission (GATE) toolkit was used to investigate more complex options to improve the image quality of mammographic systems, which is limited by the experimental setup. From the experimental setup, the researchers were able to construct an image using the 26.3 keV and the 59.5 keV energy photons, to show the largest size tumour (12 mm) in the ACR phantom. With an improved setup in the simulation environment, the majority of the ACR phantom tumours was visible using both energy windows from the 26.3 keV and the 59.5 keV, where the 26.3 keV yielded better quality images showing four tumours compared to three when using 59.5 keV. The simulation results were promising; however, several improvements need to be incorporated into the experimental work so that the system can generate high-resolution mammographic images similar to the ones obtained by the GATE simulation setup.

Słowa kluczowe

EN

energy-resolving detection systems; gamma-ray imaging; GATE simulation toolkit; mammography

• Wydawca: Institute of Nuclear Chemistry and Technology
• Czasopismo: Nukleonika
• Rocznik: 2022
• Tom: Vol. 67, No. 2
• Strony: 35--40
• Opis fizyczny: Bibliogr. 22 poz., rys.

Twórcy

autor

Taha Eslam M.

• King Abdulaziz University Faculty of Engineering, Nuclear Engineering Department Jeddah 21589, Saudi Arabia
• King Abdulaziz University Center for Training and Radiation Prevention Jeddah 21589, Saudi Arabia

• https://orcid.org/0000-0002-1867-4703

autor

Elmoujarkach Ezzat A.

• King Abdulaziz University Faculty of Engineering, Nuclear Engineering Department Jeddah 21589, Saudi Arabia
• Universität zu Lübeck Institute of Medical Engineering Lübeck, Germany

• https://orcid.org/0000-0003-2750-5984

autor

Balamesh Ahmed

• King Abdulaziz University Electrical and Computer Engineering Department Jeddah 21589, Saudi Arabia

autor

Alzaidi Samir A.

• King Abdulaziz University Faculty of Engineering, Nuclear Engineering Department Jeddah 21589, Saudi Arabia

autor

Alhawsawi Abdulsalam M.

• King Abdulaziz University Faculty of Engineering, Nuclear Engineering Department Jeddah 21589, Saudi Arabia
• King Abdulaziz University Center for Training and Radiation Prevention Jeddah 21589, Saudi Arabia

• https://orcid.org/0000-0002-7992-8850

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).