Literature DB >> 8971967

Correction for scatter in 3D brain PET using a dual energy window method.

S Grootoonk1, T J Spinks, D Sashin, N M Spyrou, T Jones.   

Abstract

A method for scatter correction using dual energy window acquisition has been developed and implemented on data collected with a brain-PET tomograph operated in the septa retracted, 3D mode. Coincidence events are assigned to (i) an upper energy window where both photons deposit energy between 380 keV and 850 keV or (ii) a lower energy window where one or both photons deposit within 200 keV and 380 keV. Scaling parameters are derived from measurements of the ratios of counts from line sources due to scattered and unscattered events in the two energy windows in head-sized phantoms. A scaled subtraction of the two energy windows produces a distribution of scatter which is smoothed prior to subtraction from the upper energy window. In phantoms, the correction was found to restore the uniformity, contrast and linearity of activity concentration. Relative activity concentrations were restored to within 7% of their true values in a multicompartment phantom. The method was found to provide accurate correction for scattered events arising from activity outside the direct detector field of view. In a three-compartment phantom containing water, 18F and 11C scanned in dynamic, multiframe mode, the half-lives of the two isotopes were restored to within 2% of their true value.

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Year:  1996        PMID: 8971967     DOI: 10.1088/0031-9155/41/12/013

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  10 in total

Review 1.  Scatter modelling and compensation in emission tomography.

Authors:  Habib Zaidi; Kenneth F Koral
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-03-31       Impact factor: 9.236

2.  Quantification with a dedicated breast PET/CT scanner.

Authors:  Spencer L Bowen; Andrea Ferrero; Ramsey D Badawi
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

3.  Plane-dependent ML scatter scaling: 3D extension of the 2D simulated single scatter (SSS) estimate.

Authors:  Ahmadreza Rezaei; Koen Salvo; Thomas Vahle; Vladimir Panin; Michael Casey; Fernando Boada; Michel Defrise; Johan Nuyts
Journal:  Phys Med Biol       Date:  2017-07-24       Impact factor: 3.609

Review 4.  History and future technical innovation in positron emission tomography.

Authors:  Terry Jones; David Townsend
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-31

5.  In vivo imaging of cerebral "peripheral benzodiazepine binding sites" in patients with hepatic encephalopathy.

Authors:  A Cagnin; S D Taylor-Robinson; D M Forton; R B Banati
Journal:  Gut       Date:  2005-10-06       Impact factor: 23.059

6.  Novel scatter compensation of list-mode PET data using spatial and energy dependent corrections.

Authors:  Bastien Guérin; Georges El Fakhri
Journal:  IEEE Trans Med Imaging       Date:  2010-11-29       Impact factor: 10.048

7.  Data-driven, energy-based method for estimation of scattered events in positron emission tomography.

Authors:  Nikos Efthimiou; Joel S Karp; Suleman Surti
Journal:  Phys Med Biol       Date:  2022-04-21       Impact factor: 4.174

8.  NEMA Performance Evaluation of CareMiBrain dedicated brain PET and Comparison with the whole-body and dedicated brain PET systems.

Authors:  Laura Moliner; Maria J Rodríguez-Alvarez; Juan V Catret; Antonio González; Víctor Ilisie; José M Benlloch
Journal:  Sci Rep       Date:  2019-10-29       Impact factor: 4.379

Review 9.  Introduction to the analysis of PET data in oncology.

Authors:  Giampaolo Tomasi; Eric O Aboagye
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-02-27       Impact factor: 2.745

10.  Validation of a simplified scatter correction method for 3D brain PET with 15O.

Authors:  Masanobu Ibaraki; Keisuke Matsubara; Kaoru Sato; Tetsuro Mizuta; Toshibumi Kinoshita
Journal:  Ann Nucl Med       Date:  2016-08-17       Impact factor: 2.668

  10 in total

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