Incomplete-data CT image reconstructions in industrial applications
- General Electric Co., Corporate Research and Development, Schenectady, NY (US)
In industrial x-ray computerized tomography (CT) the objects to be inspected are usually very attenuating to x-rays, and their shape may not permit complete scannings at all view angles. As a result one usually has to deal with incomplete-data imaging situations. In earlier reports it was concluded that image reconstruction from incomplete data can be achieved effectively through an iterative transform algorithm, which utilizes the {ital a priori} information on the object to compensate for the missing data. The image is repeatedly transformed to the object space, where it is corrected by the {ital a priori} information on the object, and back to the projection space where it is corrected by the measured projections. In this paper the results of validating the iterative transform algorithm on experimental data of a cross section of a high-pressure turbine blade made of Ni-based supperalloy are reported.
- OSTI ID:
- 6626446
- Journal Information:
- IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (USA), Vol. 37:3; ISSN 0018-9499
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
20 FOSSIL-FUELED POWER PLANTS
36 MATERIALS SCIENCE
INDUSTRIAL RADIOGRAPHY
DIAGNOSTIC USES
NICKEL BASE ALLOYS
TURBINE BLADES
COMPUTERIZED TOMOGRAPHY
HIGH PRESSURE
IMAGE PROCESSING
ITERATIVE METHODS
THICKNESS
ALLOYS
DIAGNOSTIC TECHNIQUES
DIMENSIONS
NICKEL ALLOYS
PROCESSING
TOMOGRAPHY
USES
070204* - Radiation Sources- Industrial Uses
Radiometric
200104 - Fossil-Fueled Power Plants- Components
360102 - Metals & Alloys- Structure & Phase Studies