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Radiology practitioners are examined on the underlying radiological physics principles of Photoelectric Absorption and Compton Scatter. Students must understand how these interactions in the patient vary as the x-ray tube acquisition parameters are adjusted. This variation changes the relative tissue contrasts in the radiograph and the detrimental radiation dose to the patient. An interactive Mathematica (1) simulation has been developed which simultaneously shows relative interaction probabilities, patient dose &amp; penetration, and an anthropomorphic chest image. By adjusting the parameters the student can determine an optimal acquisition which minimises patient dose whilst generating sufficient contrast for lesion detection on the radiograph. The simulation instructions lead the student through a series of acquisitions which enable MCQ &amp; SAQ assessments, which have demonstrated enhanced and accelerated comprehension. 1. Mathematica, Wolfram Research Inc., Champain, IL (1989-2020).

AAPT SM 20

Radiological Physics simulation of Radiographic image acquisition.

radiography

radiological

physics

The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. The program featured plenary speakers, sessions, workshops and many special activities.

For more information please visit the 2020 AAPT Virtual Summer Meeting page at: https://www.aapt.org/Conferences/SM2020/index.cfm.


The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. 

Radiology practitioners are examined on the underlying radiological physics principles of Photoelectric Absorption and Compton Scatter. Students must understand how these interactions in the patient vary as the x-ray tube acquisition parameters are adjusted. This variation changes the relative tissue contrasts in the radiograph and the detrimental radiation dose to the patient. An interactive Mathematica (1) simulation has been developed which simultaneously shows relative interaction probabilities, patient dose & penetration, and an anthropomorphic chest image. By adjusting the parameters the student can determine an optimal acquisition which minimises patient dose whilst generating sufficient contrast for lesion detection on the radiograph. The simulation instructions lead the student through a series of acquisitions which enable MCQ & SAQ assessments, which have demonstrated enhanced and accelerated comprehension. 1. Mathematica, Wolfram Research Inc., Champain, IL (1989-2020).

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Radiological Physics simulation of Radiographic image acquisition.

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