Literature DB >> 1997482

Assessment of accuracy of PET utilizing a 3-D phantom to simulate the activity distribution of [18F]fluorodeoxyglucose uptake in the human brain.

E J Hoffman1, P D Cutler, T M Guerrero, W M Digby, J C Mazziotta.   

Abstract

A three-dimensional brain phantom has been developed to simulate the activity distributions found in human brain studies currently employed in positron emission tomography (PET). The phantom has a single contiguous chamber and utilizes thin layers of lucite to provide apparent relative concentrations of 5, 1, and 0 for gray matter, white matter, and CSF structures, respectively. The phantom and an ideal image set were created from the same set of data. Thus, the user has a basis for comparing measured images with an ideal set that allows a quantitative evaluation of errors in PET studies with an activity distribution similar to that found in patients. The phantom was employed in a study of the effect of deadtime and scatter on accuracy in quantitation on a current PET system. Deadtime correction factors were found to be significant (1.1-2.5) at count rates found in clinical studies. Deadtime correction techniques were found to be accurate to within 5%. Scatter in emission and attenuation correction data consistently caused 5-15% errors in quantitation, whereas correction for scatter in both types of data reduced errors in accuracy to less than 5%.

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Year:  1991        PMID: 1997482     DOI: 10.1038/jcbfm.1991.32

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  7 in total

1.  Development of a practical image-based scatter correction method for brain perfusion SPECT: comparison with the TEW method.

Authors:  Miho Shidahara; Hiroshi Watabe; Kyeong Min Kim; Takashi Kato; Shoji Kawatsu; Rikio Kato; Kumiko Yoshimura; Hidehiro Iida; Kengo Ito
Journal:  Eur J Nucl Med Mol Imaging       Date:  2005-05-28       Impact factor: 9.236

2.  Association between FDG uptake, CSF biomarkers and cognitive performance in patients with probable Alzheimer's disease.

Authors:  Sönke Arlt; Stefanie Brassen; Holger Jahn; Florian Wilke; Martin Eichenlaub; Ivayla Apostolova; Fabian Wenzel; Frank Thiele; Stewart Young; Ralph Buchert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-02-14       Impact factor: 9.236

3.  Method for detecting voxelwise changes in fluorodeoxyglucose-positron emission tomography brain images via background adjustment in cancer clinical trials.

Authors:  Lei Qin; Armin Schwartzman; Keisha McCall; Nezamoddin N Kachouie; Jeffrey T Yap
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-01

4.  Harmonisation of PET/CT contrast recovery performance for brain studies.

Authors:  E E Verwer; S S V Golla; A Kaalep; M Lubberink; F H P van Velden; V Bettinardi; M Yaqub; T Sera; S Rijnsdorp; A A Lammertsma; R Boellaard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-01-31       Impact factor: 9.236

5.  Phantom criteria for qualification of brain FDG and amyloid PET across different cameras.

Authors:  Yasuhiko Ikari; Go Akamatsu; Tomoyuki Nishio; Kenji Ishii; Kengo Ito; Takeshi Iwatsubo; Michio Senda
Journal:  EJNMMI Phys       Date:  2016-10-06

6.  A Computer-Aided Analysis Method of SPECT Brain Images for Quantitative Treatment Monitoring: Performance Evaluations and Clinical Applications.

Authors:  Xiujuan Zheng; Wentao Wei; Qiu Huang; Shaoli Song; Jieqing Wan; Gang Huang
Journal:  Biomed Res Int       Date:  2017-01-31       Impact factor: 3.411

7.  A partial volume effect correction tailored for 18F-FDG-PET oncological studies.

Authors:  F Gallivanone; C Canevari; L Gianolli; C Salvatore; P A Della Rosa; M C Gilardi; I Castiglioni
Journal:  Biomed Res Int       Date:  2013-09-19       Impact factor: 3.411

  7 in total

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