Title :
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
fDate :
2/1/1996 12:00:00 AM
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;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
