NDLI: Evaluation of image noise in prospectively respiratory gated PET

Content Provider	IEEE Xplore Digital Library
Author	Detorie, N.C. Kesner, A.L. Solberg, T.D. Dahlbom, M.
Copyright Year	2005
Description	Author affiliation: Dept. of Molecular & Med. Pharmacology, California Univ., Los Angeles, CA (Detorie, N.C.; Kesner, A.L.)
Abstract	The aim of this study was to quantify image noise and signal recovery in respiratory gated PET. A Jaszczak phantom filled with $^{18}F$ was placed on a platform moving sinusoidally. Two source to background activity ratios were used: 5:1 and 3:1 (sphere:background). An Anzai belt, a surface tension monitoring device, was strapped around the phantom to track the motion and to trigger the gated PET cycle. Data were acquired into 12 bins throughout one gating cycle. The binned data were also summed to produce image sets representing acquisitions with different numbers of gates, including a non-gated image set. The image noise was estimated using the bootstrap method. Images were generated from 100 sinogram replicates, reconstructed using OSEM, and filtered to a final image resolution of 6 mm. From the reconstructed image replicates, mean and standard deviation images were created, from which the average image signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of each sphere were calculated. The SNR and CNR were evaluated as a function of the number of gates. The SNR and CNR result in the expected Poisson limited correlation with the number of gates for the larger lesions. Because of the motion, the CNR calculated from the images produced with no or few gates is nearly a factor of 2 less than the expected value for the 3 smallest spheres. As the number of gates increases, the CNR correlates with the expected values. Beyond 4 gates, image noise dominates over any signal improvement, which is reflected in the low CNR values of the smallest spheres. The results of this study show that gating can provide significant improvement in signal recovery with minimal loss of CNR for small, moving lesions
Starting Page	12
Ending Page	2570
File Size	361831
Page Count	2559
File Format	PDF
ISBN	0780392213
ISSN	10957863
DOI	10.1109/NSSMIC.2005.1596862
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-23
Publisher Place	Puerto Rico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Positron emission tomography Imaging phantoms Image reconstruction Signal to noise ratio Lesions Belts Surface tension Monitoring Tracking Image generation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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