Optimal computed tomography data acquisition techniques and filter selection for detection of small density variations

Author

Viskoe, Dale Alicia ; Donohoe, Gregory W.

Author_Institution

Los Alamos Nat. Lab., NM, USA

Volume

45

Issue

1

fYear

1996

fDate

2/1/1996 12:00:00 AM

Firstpage

70

Lastpage

76

Abstract

Accurately measuring small relative density variations within the interior of an object using computed tomography requires special considerations. Data acquisition techniques and filtering must be optimized as a whole to obtain optimal results. It is shown that using the filtered back-projection reconstruction algorithm, a combination of oversampling, 360-degree data acquisition, data averaging, and a common reconstruction filter can substantially improve image quality. The effect of each of these techniques on image quality is documented with extensive simulations. Images from reconstructions of data obtained from a computed tomography system are presented and analyzed to support the results of the simulations

Keywords

computerised tomography; data acquisition; density measurement; digital simulation; filtering theory; image reconstruction; nondestructive testing; 3D objects; computed tomography; data acquisition; data averaging; density variations; filter selection; filtered back-projection reconstruction algorithm; image quality; optimal computed tomography; oversampling; reconstruction filter; relative density variations; simulation; Computational modeling; Computed tomography; Data acquisition; Density measurement; Filtering; Filters; Image analysis; Image quality; Image reconstruction; Reconstruction algorithms;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.481314

Filename

481314