NDLI: Signal-to-Noise Ratio Equalized Filtered Back-Projection for Positron Emission Tomography

Content Provider	IEEE Xplore Digital Library
Author	Watson, C.C.
Copyright Year	1963
Abstract	We describe a new, noise-adaptive, quasi-linear image reconstruction algorithm for positron emission tomography that seeks to equalize the signal-to-noise ratio (SNR) across an image by applying spatially varying smoothing. It is based on the fact that for linear reconstruction algorithms such as filtered back-projection (FBP), operating on uncorrelated Poisson distributed data, it is possible to directly compute the corresponding noise variance image, and thus the SNR, at all points, for any smoothing kernel (or filter function). Increased smoothing generally results in higher SNR. Therefore, by varying the amount of smoothing locally, one can tune the image to achieve a target SNR at most points. The resulting image appears to share some of the advantages of maximum likelihood reconstruction (e.g., improved hot spot contrast versus noise trade-off) while retaining the quantitative advantages of FBP (biased only by the known smoothing kernel). Examples for clinical time-of-flight (TOF) and non-TOF reconstructions are shown.
Sponsorship	IEEE Nuclear and Plasma Sciences Society Computer Applications in Nuclear and Plasma Sciences (CANPS) Lawrence Berkeley Lab. Lawrence Livermore Nat. Lab. APS College of William and Mary Continuous Electron Beam Accelerator Facility NASA Defence Nuclear Agency Sandia National Laboratories Jet Propulsion Laboratory Brookhaven Nat. Lab. Lawrence Livermore Nat. Lab IEEE/NPPS Radiat. Effects Committee Defence Nuclear Agency/DoD Sandia National Laboratories/DOE Jet Propulsion Laboratory/NASA Phillips Lab./DoD
Starting Page	108
Ending Page	115
Page Count	8
File Size	1908186
File Format	PDF
ISSN	00189499
Volume Number	56
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio Positron emission tomography Smoothing methods Image reconstruction Kernel Nonlinear filters Reconstruction algorithms Maximum likelihood estimation Iterative algorithms Pixel SNR FBP image reconstruction PET
Content Type	Text
Resource Type	Article
Subject	Nuclear and High Energy Physics Electrical and Electronic Engineering Nuclear Energy and Engineering

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

Estimating Image Quality for Future Generations of TOF PET Scanners

Evaluation of maximum-likelihood based attenuation correction in positron emission tomography

Signal-to-Noise Gain at Variable Randoms Ratio in TOF PET

An investigation of filter choice for filtered back-projection reconstruction in PET

An Accelerated Penalized Maximum Likelihood Algorithm for Positron Emission Tomography

PET Image Reconstruction Incorporating 3D Mean-Median Sinogram Filtering

Non-isotropic noise correlation in PET data reconstructed by FBP but not by OSEM demonstrated using auto-correlation function

The ML-EM Algorithm is Not Optimal for Poisson Noise

A nonlinear, image domain filtering method for cardiac PET images

Signal-to-Noise Ratio Equalized Filtered Back-Projection for Positron Emission Tomography

Similar Documents

Estimating Image Quality for Future Generations of TOF PET Scanners

Evaluation of maximum-likelihood based attenuation correction in positron emission tomography

Signal-to-Noise Gain at Variable Randoms Ratio in TOF PET

An investigation of filter choice for filtered back-projection reconstruction in PET

An Accelerated Penalized Maximum Likelihood Algorithm for Positron Emission Tomography

PET Image Reconstruction Incorporating 3D Mean-Median Sinogram Filtering

Non-isotropic noise correlation in PET data reconstructed by FBP but not by OSEM demonstrated using auto-correlation function

The ML-EM Algorithm is Not Optimal for Poisson Noise

A nonlinear, image domain filtering method for cardiac PET images

Signal-to-Noise Ratio Equalized Filtered Back-Projection for Positron Emission Tomography