CoBRA: Cone Beam Computed Tomography (CT) Reconstruction Code in Interactive Data Language (IDL) Sheats, Matthew Stupin, David 2018-02-14T08:10:17.000 2020-06-30T06:49:53Z 2020-06-30T06:49:53Z Thu Jan 01 00:00:00 UTC 1998 1998
dc.description.abstract <p>In support of stockpile stewardship and other important missions, Los Alamos is continually looking for fast and effective ways of inspecting and evaluating industrial parts. Thus, Los Alamos is continually striving to improve our radiography and computed tomography (CT) capabilities. Cormack [1] and Hounsfield [2] received the Nobel Prize in 1979 for their pioneering work in computed tomography that led to the development of medical scanners. Copley et al. [3] provides a good history of the development of industrial CT systems. The early systems collect data via a single detector or linear detector array. While CT offers greatly increased spatial resolutions over radiography, CT inspections with a linear array are slow and costly. To improve the viability of CT for NDT applications, Feldkamp, Davis, and Kress [4] reported a cone beam reconstruction technique that speeds up the CT process by using image data rather than data collected by a linear array. Because it potentially offers processing speeds up to 10 times faster than CT systems that use a linear array, we are building a cone beam CT for use with our 20 MV x-ray source and Los Alamos Neutron Science Center (LANSCE) neutron sources. Our software, called CoBRA, is a portable cone beam reconstruction code for CT applications that efficiently and rapidly reconstructs large data sets. CoBRA applications include both x-ray and neutron inspections using x-ray phosphor screens coupled to either a CCD camera or flat-panel amorphous silicon arrays. Photographs of two amorphous silicon arrays (128 × 128 and 1600 × 200) are shown in Figure 1.</p>
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dc.identifier.articleid 3642
dc.identifier.contextkey 5810436
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/1998/allcontent/50
dc.language.iso en
dc.relation.ispartofseries Review of Progress in Quantitative Nondestructive Evaluation
dc.source.bitstream archive/|||Sat Jan 15 00:40:49 UTC 2022
dc.source.uri 10.1007/978-1-4615-5339-7_50
dc.title CoBRA: Cone Beam Computed Tomography (CT) Reconstruction Code in Interactive Data Language (IDL)
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dc.type.genre article
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relation.isSeriesOfPublication 289a28b5-887e-4ddb-8c51-a88d07ebc3f3
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