FY2006 Engineering Tech Base Report: Defect Detection in Large CT Image Sets

One of 95 reports in the series: Fiscal Year 2006 available on this site.

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This image analysis project is constructing a tool for performing computer assisted detection of defects in large CT data sets. We address two primary challenges: proving an algorithm that can reliably highlight the objects of interest, and coupling this algorithm to efficient and effective data management and interface routines. The goal of this project is to create an end to end tool that will efficiently extract from large CT data sets a manageable set of candidate defects that highlights 100% of the unambiguous (to a trained analyst) true defects and as many as possible of the ambiguous objects. Objective metrics ... continued below

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PDF-file: 7 pages; size: 1.1 Mbytes

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Poland, D N; Lopez, A; Manay, S & Sengupta, S September 18, 2006.

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  • Main Title: FY2006 Engineering Tech Base Report: Defect Detection in Large CT Image Sets
  • Series Title: Fiscal Year 2006

Description

This image analysis project is constructing a tool for performing computer assisted detection of defects in large CT data sets. We address two primary challenges: proving an algorithm that can reliably highlight the objects of interest, and coupling this algorithm to efficient and effective data management and interface routines. The goal of this project is to create an end to end tool that will efficiently extract from large CT data sets a manageable set of candidate defects that highlights 100% of the unambiguous (to a trained analyst) true defects and as many as possible of the ambiguous objects. Objective metrics for defect ambiguity are elusive given the ill defined nature of both the defects and their CT images (e.g., variations in size and contrast, defect/object density gradients). Therefore the true metric of success will be gaining the confidence of the Weapons Program NDE analysts in this tool, which will be a qualitative function of efficiency and accuracy. In consultation with Weapons Program NDE analysts voids it was decided to focus this initial effort on searching for small voids (order of tenths to tens of millimeters in extent). The program has produced a Tungsten ring with surrogate defects drilled into it (Figure 1) that they use for studying the ability of their systems and analysts to detect this class of defects.

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PDF-file: 7 pages; size: 1.1 Mbytes

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  • Report No.: UCRL-TR-224486
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/896596 | External Link
  • Office of Scientific & Technical Information Report Number: 896596
  • Archival Resource Key: ark:/67531/metadc889122

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • September 18, 2006

Added to The UNT Digital Library

  • Sept. 22, 2016, 2:13 a.m.

Description Last Updated

  • Nov. 28, 2016, 6:21 p.m.

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Poland, D N; Lopez, A; Manay, S & Sengupta, S. FY2006 Engineering Tech Base Report: Defect Detection in Large CT Image Sets, report, September 18, 2006; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc889122/: accessed April 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.