Montgomery College 2024-2025 Catalog 
    
    Dec 03, 2024  
Montgomery College 2024-2025 Catalog
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RADT 102 - Radiologic Technology II


(TP/SS only)

A continuation of RADT 101  with more complex imaging theories. Course objectives include image quality, conventional and digital fluoroscopy, X-ray machinery circuitry and design, pre and post processing image acquisition through digital capture, equipment quality control, and federally regulated radiation safety room design for radiation protection. Mathematical formulas for basic circuitry problems, greater density problems, and magnification calculations are presented. Basic concepts of MRI and CT are introduced with more complex theories to further the knowledge of the student. Artificial Intelligence as it pertains to imaging will be discussed. A correlated laboratory will aid the student in synthesizing the material presented in class. PREREQUISITE(S): A grade of C or better in mathematics foundation and RADT 101 , or consent of program coordinator. COREQUISITE(S): RADT 112  and RADT 124 . Three hours lecture, two hours laboratory each week.

4 semester hours

Course Outcomes:
Upon completion of this course, a student will be able to:

  • Discuss factors that promote high image quality including calculation for magnification factors.
  • Identify the different components and their specific actions in a conventional and in a digital image intensifier in fluoroscopy.
  • Apply the rules and the mathematical calculations of electricity and magnetism to a basic x-ray circuit.
  • Describe the digital capture process of imaging including the pre and post processing functions.
  • Describe the different equipment quality control tests and associated parameters and identify a proper quality assurance program.
  • Explain the current radiation protection requirements needed in the design of a radiographic room. 
  • List the recommended levels of radiation allowable to the public, patient and diagnostic imaging personnel.
  • Identify the basic components of  MRI and CT image capturing systems.
  • Identify basic terminology of Artificial Intelligence and discuss its application in diagnostic imaging.


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