Affiliation
Univ Arizona, Coll Opt SciUniv Arizona, CGRI, Dept Med Imaging
Issue Date
2017Keywords
BazookaSPECTCCD
CMOS
gamma camera
image intensifier
preclinical scintigraphy
clinical scintigraphy
preclinical SPECT
alpha detection
digital autoradiography
iQID
Metadata
Show full item recordPublisher
SPIE-INT SOC OPTICAL ENGINEERINGCitation
Ling Han, Brian W. Miller, Harrison H. Barrett, H. Bradford Barber, Lars R. Furenlid, "Applications of iQID cameras", Proc. SPIE 10393, Radiation Detectors in Medicine, Industry, and National Security XVIII, 103930P (15 September 2017); doi: 10.1117/12.2279302; https://doi.org/10.1117/12.2279302Rights
© 2017 SPIE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
iQID is an intensified quantum imaging detector developed in the Center for Gamma-Ray Imaging (CGRI). Originally called BazookaSPECT, iQID was designed for high-resolution gamma-ray imaging and preclinical gamma-ray single-photon emission computed tomography (SPECT). With the use of a columnar scintillator, an image intensifier and modern CCD/CMOS sensors, iQID cameras features outstanding intrinsic spatial resolution. In recent years, many advances have been achieved that greatly boost the performance of iQID, broadening its applications to cover nuclear and particle imaging for preclinical, clinical and homeland security settings. This paper presents an overview of the recent advances of iQID technology and its applications in preclinical and clinical scintigraphy, preclinical SPECT, particle imaging (alpha, neutron, beta, and fission fragment), and digital autoradiography.ISSN
0277-786X1996-756X
Version
Final published versionSponsors
NIH/NIBIB [P41-EB002035]Additional Links
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10393/2279302/Applications-of-iQID-cameras/10.1117/12.2279302.fullae974a485f413a2113503eed53cd6c53
10.1117/12.2279302