In radiology, how can we reduce the entrance surface dose while keeping the obtained image acceptability for routine radiographic examinations to improve diagnosis quality? Hamza Sekkat uses a phantom and solid-state detector/multisensor to optimize the radiation dose and image quality by selecting image parameters that give an acceptable one with the lowest dose delivered to the patient.
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Optimizing Radiation Dose and Image Quality in Radiology: Breaking the Wall of Stochastic Effects
Hamza Sekkat
2022
2022 Winner
2022 Winner | Emerging Talents
Emerging Talents
Hamza Sekkat is a recent graduate of the Medical Dosimetry Bachelor’s degree program at the Faculty of Sciences, Mohammed V University of Rabat and a first year Master’s degree student of Medical Physics. He works hard to make himyself, his education, and his experiences as useful to the goal of reducing x-ray imaging effects and radiation-induced cancers.
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