NDLI: MuST, multiples enhanced ST method for randoms rate estimations

Content Provider	IEEE Xplore Digital Library
Author	Oliver, J.F. Rafecas, M.
Copyright Year	2010
Description	Author affiliation: Instituto de Física Corpuscular (IFIC), Universidad de Valencia/CSIC, Spain (Oliver, J.F.; Rafecas, M.)
Abstract	The PET technique is based on the detection in coincidence of the two photons created in a positron annihilation. In the process of finding these pairs some accidental coincidences are obtained. These correspond to photons coming from different annihilations. Accidental coincidences, or randoms, are one of the main sources of image degradation. It is possible to partially compensate their negative impact. To this end, methods providing an estimation of the randoms present in the classified data are required. A common method of choice is the so called Singles Rate, SR. Its estimation is provided by the well known formula: R = 2τS. Since it only requires the knowledge of the singles count rates, it is simple to implement and has low statistical fluctuations. However, this method systematically overestimates the true rate and fails considerably in scenarios with inter-crystal scatter, ICS, events in the data. Which are present when the lower energy threshold is set below 255.5 keV to enhance the sensitivity of a PET scanner. For conventional energy windows, i.e. without ICS, SR can be improved by including the contributions of true coincidences, ST method. The inclusion eliminates the overestimation and provides results compatible with the correct value. Nevertheless, some (expected) disagreement was found when applying ST to scenarios with ICS, specially for non-extended sources located close to the Field-of-View, FOV, where the mismatch could be of 50 %. In this work we have investigated the potential improvements that can be achieved when true triple coincidences are also taken into account, MuST method. This was done by performing several Monte Carlo simulations. Remarkably, the results show an excellent agreement with the true value regardless of the geometry of the source, the activity and the energy window considered. Except for high activities (in our particular case above 1 mCi), the agreement is always within a few percent, 2 % at worst. We are currently investigating possible extensions that allow to obtain the MuST estimation with only measurable quantities. Which would open the door to use MuST in ICS scenarios to enhance the sensitivity of future scanners.
Starting Page	3544
Ending Page	3547
File Size	283346
Page Count	4
File Format	PDF
ISBN	9781424491063
ISSN	10957863
e-ISBN	9781424491056
DOI	10.1109/NSSMIC.2010.5874468
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation Strontium Photonics Crystals Phantoms Positron emission tomography Monte Carlo methods
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

Randoms Mean Value Estimation with Exact Method for Ring PET Scanner

Realistic Monte Carlo PET simulation with pixellated block detectors, light sharing and randoms modeling

PeneloPET, a Monte Carlo PET simulation toolkit based on PENELOPE: Features and Validation

Combining Photonic Crystal and Optical Monte Carlo Simulations: Implementation, Validation and Application in a Positron Emission Tomography Detector

LuCaS: Efficient Monte Carlo simulations of highly realistic PET tumor images

Reversible jump Markov chain Monte Carlo for brain activation detection

A Monte Carlo study of high resolution PET with granulated dual layer detectors

A Monte Carlo based simulation of an high speed ADC-based TOF-PET read-out system

A comparative study of multiple scatter estimations in 3D PET

MuST, multiples enhanced ST method for randoms rate estimations

Similar Documents

Randoms Mean Value Estimation with Exact Method for Ring PET Scanner

Realistic Monte Carlo PET simulation with pixellated block detectors, light sharing and randoms modeling

PeneloPET, a Monte Carlo PET simulation toolkit based on PENELOPE: Features and Validation

Combining Photonic Crystal and Optical Monte Carlo Simulations: Implementation, Validation and Application in a Positron Emission Tomography Detector

LuCaS: Efficient Monte Carlo simulations of highly realistic PET tumor images

Reversible jump Markov chain Monte Carlo for brain activation detection

A Monte Carlo study of high resolution PET with granulated dual layer detectors

A Monte Carlo based simulation of an high speed ADC-based TOF-PET read-out system

A comparative study of multiple scatter estimations in 3D PET

MuST, multiples enhanced ST method for randoms rate estimations