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The impact of the number of projections on image quality in Compton scatter tomography

The impact of the number of projections on image quality in Compton scatter tomography The availability of high resolution, energy discriminating photon countingdetectors should make it possible to use Compton scattered photons toimprove the diagnostic capability of computed tomography (CT). With high,spatial and energy resolution detectors Compton scatter tomography (CST)images of adequate quality can be obtained with a single projection. Inpractice, the limitations of realistic detectors require multipleprojections for good quality images. The relationship between the number ofprojections used for reconstruction and the reconstructed image qualityobtained for conventional CT does not necessarily apply to multi-projectionCompton scatter tomography (MPCST). The purpose of this work was toinvestigate the dependence of the reconstructed image quality on the numberof projections for MPCST. Analytical simulations and reconstructions wereused to evaluate the contrast and spatial resolution for imagesreconstructed with one to 720 projections. Contrast-to-noise ratios (CNR)and the modulation transfer functions (MTF) demonstrated that the contrastincreases monotonically with the number of projections while spatialresolution was independent of the number of projections. The contrastinitially increases rapidly with projection number, becoming more gradual asthe number of projections increase, with the rate of change being a functionof fluence. The number of projections required to asymptotically approachthe maximum contrast decreases as the fluence increases, with no indicationof an optimal value for the range of fluences and projections investigated.For the projections considered, an increase in the number of projectionsincreases the CNR even though the number of photons per projectiondecreases. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of X-Ray Science and Technology IOS Press

The impact of the number of projections on image quality in Compton scatter tomography

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Publisher
IOS Press
Copyright
Copyright © 2015 IOS Press and the authors. All rights reserved
ISSN
0895-3996
eISSN
1095-9114
DOI
10.3233/XST-150525
pmid
26756410
Publisher site
See Article on Publisher Site

Abstract

The availability of high resolution, energy discriminating photon countingdetectors should make it possible to use Compton scattered photons toimprove the diagnostic capability of computed tomography (CT). With high,spatial and energy resolution detectors Compton scatter tomography (CST)images of adequate quality can be obtained with a single projection. Inpractice, the limitations of realistic detectors require multipleprojections for good quality images. The relationship between the number ofprojections used for reconstruction and the reconstructed image qualityobtained for conventional CT does not necessarily apply to multi-projectionCompton scatter tomography (MPCST). The purpose of this work was toinvestigate the dependence of the reconstructed image quality on the numberof projections for MPCST. Analytical simulations and reconstructions wereused to evaluate the contrast and spatial resolution for imagesreconstructed with one to 720 projections. Contrast-to-noise ratios (CNR)and the modulation transfer functions (MTF) demonstrated that the contrastincreases monotonically with the number of projections while spatialresolution was independent of the number of projections. The contrastinitially increases rapidly with projection number, becoming more gradual asthe number of projections increase, with the rate of change being a functionof fluence. The number of projections required to asymptotically approachthe maximum contrast decreases as the fluence increases, with no indicationof an optimal value for the range of fluences and projections investigated.For the projections considered, an increase in the number of projectionsincreases the CNR even though the number of photons per projectiondecreases.

Journal

Journal of X-Ray Science and Technology – IOS Press

Published: Dec 17, 2015

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