DocumentCode
2617907
Title
Reconstructing uniformly attenuated rotating slant-hole SPECT projection data using the DBH method
Author
Huang, Qiu ; Xu, Jingyan ; Tsui, Benjamin M W ; Gullberg, Grant T.
Author_Institution
E. O. Lawrence Berkeley National Laboratory, One Cyclotron Road, Mail Stop 55R0121, CA 94720, USA
fYear
2008
fDate
19-25 Oct. 2008
Firstpage
5438
Lastpage
5441
Abstract
This work applies a previously developed analytical algorithm to the reconstruction in a rotating multi-segment slant-hole (RMSSH) SPECT system. The RMSSH SPECT data of a digital NCAT phantom with breast attachment are modeled as the uniformly attenuated Radon transform of the activity distribution. These data are reconstructed using an analytical algorithm called the DBH method, which is an acronym for the procedure of differentiation and backprojection followed by a finite weighted Hilbert transform. The projection data are first differentiated along a specific direction and then backprojected to the image space. The result from the first step is equal to a one-dimensional finite weighted Hilbert transform of the object; this transform is then numerically inverted to obtain the reconstructed image. With the limited common volume-of-view (CVOV) of the RMSSH collimator, the detector captures gamma photon emissions from the breast and from parts of the torso. A conventional filtered backprojection algorithm only reconstructs the high frequency components of the activity function. The DBH method is capable of exactly reconstructing the activity within a well defined region-of-interest (ROI) within the breast. Quantitative accuracy is shown in this ROI from the simulation results.
Keywords
Algorithm design and analysis; Breast; Frequency; Gamma ray detection; Gamma ray detectors; Image reconstruction; Imaging phantoms; Optical collimators; Single photon emission computed tomography; Torso; attenuation correction; rotating slant-hole SPECT; truncation;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
Conference_Location
Dresden, Germany
ISSN
1095-7863
Print_ISBN
978-1-4244-2714-7
Electronic_ISBN
1095-7863
Type
conf
DOI
10.1109/NSSMIC.2008.4774484
Filename
4774484
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