DocumentCode
469882
Title
Quantitative evaluation of Half-Cone-Beam data acquisition trajectories in triple- camera brain SPECT
Author
Ter-Antonyan, Ruben ; Jaszczak, Ronald J. ; Bowsher, James E. ; Greer, Kim L. ; Metzler, Scott D.
Author_Institution
Duke Univ., Durham
Volume
5
fYear
2007
fDate
Oct. 26 2007-Nov. 3 2007
Firstpage
3898
Lastpage
3903
Abstract
In this study related to human brain SPECT imaging, simulation of half-cone-beam collimation with different scan paths is performed and compared with simulated fan-beam and parallel-hole circular orbit acquisitions. Acquisition types are quantitatively evaluated based on photon detection efficiency, root-mean-squared error (RMSE) and contrast measurements of reconstructed images. We demonstrate that triple-HCB collimation with a circle-and-helix scan path can offer up to 26% and 128% efficiency increase over fan-beam and parallel-hole collimators (for equal spatial resolutions) correspondingly, and display no visible axial sampling artifacts in reconstructed images. It has a potential for improved data acquisition and image reconstruction, producing higher image quality with smaller reconstruction error (RMSE) and better lesion detectability compared to fan-beam, parallel-hole and half-cone- beam circular orbit acquisitions.
Keywords
brain; data acquisition; image reconstruction; mean square error methods; medical image processing; single photon emission computed tomography; brain SPECT; fan-beam acquisitions; half-cone-beam data acquisition trajectories; image reconstruction; lesion detectability; parallel-hole circular orbit acquisitions; photon detection efficiency; root mean squared error; Brain modeling; Cameras; Collimators; Data acquisition; Displays; Extraterrestrial measurements; Humans; Image reconstruction; Single photon emission computed tomography; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
Conference_Location
Honolulu, HI
ISSN
1095-7863
Print_ISBN
978-1-4244-0922-8
Electronic_ISBN
1095-7863
Type
conf
DOI
10.1109/NSSMIC.2007.4436970
Filename
4436970
Link To Document