Paper
15 September 2008 Novel sampling strategies for x-ray fluorescence computed tomography
Patrick J. La Rivière, Phillip Vargas
Author Affiliations +
Abstract
X-ray fluorescence computed tomography (XFCT) is a synchrotron-based imaging modality employed for mapping the distribution of elements within slices or volumes of intact specimens. A pencil beam of external radiation is used to stimulate emission of characteristic X-rays from within a sample, which is scanned and rotated through the pencil beam in a first-generation tomographic geometry. While this line-by-line acquisition is slow, it does provide remarkable flexibility in sampling, since the sampling intervals and patterns are not limited by detector hardware as they are in many imaging modalities. In this work we discuss several ways of exploiting this flexibility to increase imaging speed without sacrificing image quality. This includes: (1) scanning only the half of the object nearest the detector while rotating through 360 degrees, (2) performing so-called interlaced sampling in which the sampling patterns at even and odd projection views are offset relative to one another, and (3) performing 3D helical scanning in which only the half of the object nearest the detector is scanned. The helical sampling is coupled with a novel Fourier-based interpolation scheme we have previously introduced for helical CT.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick J. La Rivière and Phillip Vargas "Novel sampling strategies for x-ray fluorescence computed tomography", Proc. SPIE 7078, Developments in X-Ray Tomography VI, 70780Q (15 September 2008); https://doi.org/10.1117/12.793836
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

X-ray fluorescence spectroscopy

X-rays

Computed tomography

Fourier transforms

Image quality

Signal attenuation

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