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Nukleonika
Volume 67 (2022): Numero 2 (June 2022)
Accesso libero
Utilization of an energy-resolving detection system for mammography applications: A preliminary study
Eslam M. Taha
Eslam M. Taha
,
Ezzat A. Elmoujarkach
Ezzat A. Elmoujarkach
,
Ahmed Balamesh
Ahmed Balamesh
,
Samir A. Alzaidi
Samir A. Alzaidi
e
Abdulsalam M. Alhawsawi
Abdulsalam M. Alhawsawi
| 11 giu 2022
Nukleonika
Volume 67 (2022): Numero 2 (June 2022)
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Article Category:
Original Paper
Pubblicato online:
11 giu 2022
Pagine:
35 - 40
Ricevuto:
27 set 2021
Accettato:
03 mar 2022
DOI:
https://doi.org/10.2478/nuka-2022-0003
Parole chiave
Energy-resolving detection systems
,
Gamma-ray imaging
,
GATE simulation toolkit
,
Mammography
© 2022 Eslam M. Taha et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Fig. 1
Experimental setup from left showing the Am-241 in the blue containment shield, the ACR phantom placed in the mechanical arm surrounded with lead blocks to stabilize the arm movement, and finally is the NaI detector with a lead sleeve to shield it from the scattered radiation. 1 – ACR phantom, 2 – NaI crystal, 3 – Am-241 source.
Fig. 2
The simulation setup where the green beam represents the γ-rays. The yellow squares are the pre- and post-lead collimators. The red box is the detector. The gray box is the ACR phantom that shows in the top the five masses representing the tumours with diameters of 12, 9, 7, 5, and 4 mm.
Fig. 3
Reconstructed 26.3 keV image (left) and 59.5 keV (right).
Fig. 4
The energy spectrum of a single tumour pixel. The 26.3 keV peak is located at channel 12, while the 59.5 keV peak is located at channel 24.
Fig. 5
An image of the ACR mammographic phantom taken with Am-241 photons and a computed radiography detector.
Fig. 6
Images produced with 59.5 keV photons (left) and 26.3 keV photons (right) using 1 mm openings.
Fig. 7
Images produced with 59.5 keV photons (left) and 26.4 keV photons (right) using a 0.5 mm openings.
Fig. 8
A magnified image of the largest microcalcification cluster. Only four out of six microcalcifications are detected.