This article is within the scope of WikiProject Technology, a collaborative effort to improve the coverage of technology on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.
This article is within the scope of WikiProject Engineering, a collaborative effort to improve the coverage of engineering on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.
This has the beginnings of a nice article, pictures and references are good, but the text sectioning and flow of the article needs attention, hence the cleanup tag.Billlion (talk) 10:49, 15 May 2011 (UTC)
Industrial computed tomography scanning is a process which uses X-ray computed tomography to produce three-dimensional representations of components both externally and internally, such as this scan of a webcam. Industrial CT scanning has been used in many areas of industry for internal inspection of components. Some of the key uses for CT scanning have been flaw detection, failure analysis, metrology, assembly analysis and reverse engineering applications.
Computed tomography (or CT) is a process of taking many 2D views through an object and, through software, combining them into a 3D model. Industrial computed tomography is CT in the service of industry. Industrial computed tomography scanning is redundant. I think the article should be moved to Industrial computed tomography. Thoughts? -- Dan Griscom (talk) 03:28, 25 January 2014 (UTC)
Yes I agree, "scanning" is redundant. Actually your definition of tomography is slightly wrong in this context, although that was the original meaning. Typically industrial tomography uses cone beam systems and the 3D image volume is formed directly rather than slice-by-slice. Billlion (talk) 16:59, 28 January 2014 (UTC)
Interesting. Now I think I got my description wrong even based on my (old) knowledge. I should have said that CT is done with a point X-ray source and a line sensor, producing a 1D density graph. The source and sensor are rotated around the subject, and used to compute a 2D density graph of a slice through the subject. The process repeats again and again through different slices of the subject, forming a 3D density graph. But, you're saying the process is accelerated by using a 2D sensor that captures a 2D density image of the entire subject as seen from a single point source? Are many of these 2D images combined to create a 3D density graph? (This would be great to add to the article, if supported.) -- Dan Griscom (talk) 18:00, 28 January 2014 (UTC)
Yes that is right. Most industrial CT systems are cone beam which mean they use a 2D detector. Have a look at systems by Zeiss/Xradia, Nikon Xtek etc. The reconstruction algorithm most often used is a variation on that of L. A. Feldkamp, L. C. Davis, and J. W. Kress http://www.opticsinfobase.org/josaa/abstract.cfm?uri=josaa-1-6-612. It is approximate but works ok for small cone angles. Billlion (talk) 18:58, 1 February 2014 (UTC)