NDLI: Attenuation correction in SPECT images reconstructed on multi-resolution point clouds

Content Provider	IEEE Xplore Digital Library
Author	Boutchko, R. Sitek, A. Gullberg, G.T.
Copyright Year	2007
Description	Author affiliation: E.O. Lawrence Berkeley Nat. Lab., Berkeley (Boutchko, R.)
Abstract	Irregular point cloud distributions of grid points are used to form a tetrahedral mesh for representation of images reconstructed from projections. Previously we demonstrated that point clouds provide a significant gain in sparseness of a 3D image representation without apparent loss in resolution. Point clouds have been suggested as natural representations for factor analysis of dynamic SPECT data. In order to extract quantitative information about the kinetics of a radiotracer in the body, X-ray attenuation has to be taken into account. In this paper, we investigate attenuation correction methods that can be used with the new method of image representation. The reconstructed function is sampled on an irregular grid (cloud) of points, which is used to form a tetrahedral mesh such that a continuous function is formed by linear interpolation between the vertices of each tetrahedron. The image reconstruction relies on the underlying algorithm that computes the contribution of intensity at each point of the sinogram. The presented work investigates two methods for incorporating the attenuation map into the reconstruction algorithm. For each ray propagation direction, attenuation factors are computed for the tetrahedron vertices. The method is evaluated by applying it to the reconstruction of $^{210}TI$ canine heart data acquired using the GE Millennium VH Hawkeye SPECT-CT system.
Starting Page	4208
Ending Page	4209
File Size	175717
Page Count	2
File Format	PDF
ISBN	9781424409228
ISSN	10957863
DOI	10.1109/NSSMIC.2007.4437045
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Attenuation Image reconstruction Clouds Image representation Image resolution Data mining Kinetic theory X-ray imaging Interpolation Reconstruction algorithms
Content Type	Text
Resource Type	Article

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