Courses

Radiographic Testing - Distance Learning (RT): Intermediate Digital X-Ray Testing, Level II


There are currently no Courses Scheduled for Intermediate Digital X-Ray Testing, Level II .

Course Description

This is a live webinar class conducted remotely.

Trainees must have a webcam to attend this course. Trainee's webcam must be on for the duration of this class to get credit for taking the course & to be given access to quizzes & final exam.

The final exam will be conducted online, on this website. Webcam must be on during exam.

The lab portion will be pre-recorded video & student lab assignments monitored remotely by the instructor. You will need to have access to your x-ray equipment for a minimum of 4 hours on the 4th day of class. We understand it can be a challenge to get access to x-ray equipment during class time. In this case, the lab exercises can be done as homework to review in class during lab time.

A classroom version of this class is available, if not currently scheduled, please request it. 

This class can also be offered at your business location. Please contact us to arrange training at your location.

 

This 5-day (40-hour) NAS410-style course is designed to provide each student with the technical information required to properly operate and optimize various digital X-ray technologies in a production NDT environment.  Daily tests and a final examination will be administered to ensure each student’s comprehension of the course material.

Course Highlights:

Digital Detector Array Flat Panel Digital Radiography (DDA/DR)

  • General DDA/DR technology overview

  • Detector comparisons and operation criteria

  • Proper daily operation using pre-established digital X-ray techniques

  • Basic image processing implementation and optimization procedures

Computed Radiography (CR)

  • General CR technology overview

  • CR scanner comparisons and operation criteria

  • Imaging plate comparisons and proper usage criteria

  • Proper daily operation using pre-established digital X-ray techniques

  • Basic image processing implementation and optimization procedures