Course Details

Course Details
Course No. : 140508212
Course Name : Radiographic image Processing & Exposure
Prerequisite : 140508111 م
Credit  : 3
Theory credit : 2
Practical Credit : 3
Course Discription : This course is concerned with building up the knowledge of planner X-Ray Imaging. The course starts by revising some of radiation physics before it moves to explain the required tools before the X-ray beam hits the film. This includes intensifying screen, beam restrictors, and grid. Radiographic Film is the major tool for displaying the X-Ray radiographic information (which is connected to the human tissue clinical situation). Therefore, the course explains in details the structure of the radiographic film. Then, the course moved to describe how the X-Ray radiation are transformed to silver depositions (i.e. the formation of the latent image). Later, the course concentrates on how the latent image is "processed" to form the visible radiographic shades (i.e. final radiographic film). The "processing" procedures and the necessarily chemical components are explained in details. This covers both the manual and automated "processing". Then, the course explains the main characteristics of the radiographic film such as the optical density, film contrast, film gamma, and the film Latitude. These parameters are of great importance since they determine both "how to use film optimally" and "what are the required imaging factors?". The understanding of these parameters controls the quality of the resulting radiographic film.
Syllabus : Download
The Course offering during the First Semester-2025/2026
Section NOTheory SectionTeacherTime & Location
10 MANAR YAHIA MOHAMMAD ALMOHAMMAD 12,30 - 13,30 ح ث / المادة تدرس بشكل مدمج في مبنى التمريض ت م 202 / على منصة(مايكروسوفت teams)
11 MANAR YAHIA MOHAMMAD ALMOHAMMAD 08,30 - 11,30 ح / المادة تدرس بشكل مدمج في / على منصة(مايكروسوفت teams)
21 MANAR YAHIA MOHAMMAD ALMOHAMMAD 14,30 - 17,30 ح / المادة تدرس بشكل مدمج في / على منصة(مايكروسوفت teams)
31 MANAR YAHIA MOHAMMAD ALMOHAMMAD 08,30 - 11,30 ث / المادة تدرس بشكل مدمج في / على منصة(مايكروسوفت teams)
41 MANAR YAHIA MOHAMMAD ALMOHAMMAD 14,30 - 17,30 ث / المادة تدرس بشكل مدمج في / على منصة(مايكروسوفت teams)