Literature DB >> 28032297

A simulation study for estimating scatter fraction in whole-body 18F-FDG PET/CT.

Shota Hosokawa1,2,3, Kazumasa Inoue4, Daisuke Kano5, Fuminori Shimizu6, Kazuya Koyama1,7, Yoshihiro Nakagami6,8, Yoshihisa Muramatsu6, Masahiro Fukushi1.   

Abstract

Whereas Monte Carlo (MC) simulation is widely utilized in estimation of the scatter component, a simulation model which can calculate the scatter fraction (SF) of each patient is needed for making an accurate image quality assessment for clinical PET images based on the noise equivalent count. In this study, an MC simulation model was constructed which can calculate the SF for various phantoms. We utilized the Geant4 toolkit based on MC simulation to make a model of a PET scanner with a scatter phantom, and SFs calculated with this model were compared with the SF (SFconstant: 44%) measured with use of an actual PET scanner. Additionally, the SF values for an anthropomorphic phantom were calculated from its voxel phantom. Furthermore, we evaluated the impact on the SF due to the difference in the source distribution inside the phantom. The SF calculated from the scatter phantom in the MC simulation was 44%, the same as the SFconstant value. The average SF for the anthropomorphic phantom was 41%, but there was a maximum of 14 percentage points difference between each scan range, and the maximum difference in the SF was 8 percentage points for the difference in the source distribution. We constructed an MC simulation model which can calculate SFs for various phantoms. The SF was confirmed to be affected significantly by the source distribution. We judged that the actually measured SFconstant obtained from the PET scanner with the scatter phantom was not suitable for the assessment of the quality of all patient images.

Entities:  

Keywords:  18F-FDG PET/CT; Geant4; Monte Carlo simulation; Noise equivalent count rate; Scatter fraction; Voxel phantom

Mesh:

Substances:

Year:  2016        PMID: 28032297     DOI: 10.1007/s12194-016-0386-x

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  17 in total

1.  Performance of a whole-body PET scanner using curve-plate NaI(Tl) detectors.

Authors:  L E Adam; J S Karp; M E Daube-Witherspoon; R J Smith
Journal:  J Nucl Med       Date:  2001-12       Impact factor: 10.057

Review 2.  PET instrumentation and reconstruction algorithms in whole-body applications.

Authors:  Gabriele Tarantola; Felicia Zito; Paolo Gerundini
Journal:  J Nucl Med       Date:  2003-05       Impact factor: 10.057

3.  PET performance measurements using the NEMA NU 2-2001 standard.

Authors:  Margaret E Daube-Witherspoon; Joel S Karp; Michael E Casey; Frank P DiFilippo; Horace Hines; Gerd Muehllehner; Vilim Simcic; Charles W Stearns; Lars-Eric Adam; Steve Kohlmyer; Vesna Sossi
Journal:  J Nucl Med       Date:  2002-10       Impact factor: 10.057

4.  [Optimization of the scan time is based on the physical index in FDG-PET/CT].

Authors:  Naoki Shimada; Hiromitsu Daisaki; Takeshi Murano; Takashi Terauchi; Hiroyuki Shinohara; Noriyuki Moriyama
Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi       Date:  2011

5.  [Comparison of (18)F-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography image quality between commercial and in-house supply of FDG radiopharmaceuticals].

Authors:  Kei Wagatsuma; Kenta Miwa; Noriaki Miyaji; Taisuke Murata; Takuro Umeda; Atsushi Osawa; Tomohiro Takiguchi; Mitsuru Koizumi
Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi       Date:  2014-04

6.  Treatment of axial data in three-dimensional PET.

Authors:  M E Daube-Witherspoon; G Muehllehner
Journal:  J Nucl Med       Date:  1987-11       Impact factor: 10.057

7.  Design and performance evaluation of a whole-body Ingenuity TF PET-MRI system.

Authors:  H Zaidi; N Ojha; M Morich; J Griesmer; Z Hu; P Maniawski; O Ratib; D Izquierdo-Garcia; Z A Fayad; L Shao
Journal:  Phys Med Biol       Date:  2011-04-20       Impact factor: 3.609

8.  Optimizing injected dose in clinical PET by accurately modeling the counting-rate response functions specific to individual patient scans.

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Journal:  J Nucl Med       Date:  2005-11       Impact factor: 10.057

9.  Impacts of visceral adipose tissue and subcutaneous adipose tissue on metabolic risk factors in middle-aged Japanese.

Authors:  Rie Oka; Katsuyuki Miura; Masaru Sakurai; Koshi Nakamura; Kunimasa Yagi; Susumu Miyamoto; Tadashi Moriuchi; Hiroshi Mabuchi; Junji Koizumi; Hideki Nomura; Yoshiyu Takeda; Akihiro Inazu; Atsushi Nohara; Masa-aki Kawashiri; Shinya Nagasawa; Junji Kobayashi; Masakazu Yamagishi
Journal:  Obesity (Silver Spring)       Date:  2009-06-04       Impact factor: 5.002

10.  Performance evaluation of an Inveon PET preclinical scanner.

Authors:  Cristian C Constantinescu; Jogeshwar Mukherjee
Journal:  Phys Med Biol       Date:  2009-04-21       Impact factor: 3.609

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  2 in total

1.  Investigation of the halo-artifact in 68Ga-PSMA-11-PET/MRI.

Authors:  Thorsten Heußer; Philipp Mann; Christopher M Rank; Martin Schäfer; Antonia Dimitrakopoulou-Strauss; Heinz-Peter Schlemmer; Boris A Hadaschik; Klaus Kopka; Peter Bachert; Marc Kachelrieß; Martin T Freitag
Journal:  PLoS One       Date:  2017-08-17       Impact factor: 3.240

2.  Optimization of injection dose in 18F-FDG PET/CT based on the 2020 national diagnostic reference levels for nuclear medicine in Japan.

Authors:  Hiroaki Sagara; Kazumasa Inoue; Hideki Yaku; Amon Ohsawa; Takashi Someya; Kaori Yanagisawa; Shuhei Ohashi; Rikuta Ishigaki; Masashi Wakabayashi; Yoshihisa Muramatsu; Hirofumi Fujii
Journal:  Ann Nucl Med       Date:  2021-07-21       Impact factor: 2.668

  2 in total

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