Literature DB >> 12732678

PET instrumentation and reconstruction algorithms in whole-body applications.

Gabriele Tarantola1, Felicia Zito, Paolo Gerundini.   

Abstract

The aim of this work is the presentation and comparison of state-of-the-art dedicated PET systems actually available on the market, in terms of physical performance and technical features. Particular attention has been given to evaluate the whole-body performance by sensitivity, spatial resolution, dead time, noise equivalent counting rate (NECR), and scatter fraction. PET/CT systems were also included as new proposals to improve diagnostic accuracy of PET, allowing effective anatomic integration to functional data. An overview of actually implemented reconstruction algorithms is also reported to fully understand all of the factors that contribute to image quality.

Mesh:

Year:  2003        PMID: 12732678

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  19 in total

Review 1.  PET imaging in pediatric oncology.

Authors:  Barry L Shulkin
Journal:  Pediatr Radiol       Date:  2004-01-27

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

Authors:  Shota Hosokawa; Kazumasa Inoue; Daisuke Kano; Fuminori Shimizu; Kazuya Koyama; Yoshihiro Nakagami; Yoshihisa Muramatsu; Masahiro Fukushi
Journal:  Radiol Phys Technol       Date:  2016-12-28

3.  Automated quantitative Rb-82 3D PET/CT myocardial perfusion imaging: normal limits and correlation with invasive coronary angiography.

Authors:  Ryo Nakazato; Daniel S Berman; Damini Dey; Ludovic Le Meunier; Sean W Hayes; Jimmy S Fermin; Victor Y Cheng; Louise E J Thomson; John D Friedman; Guido Germano; Piotr J Slomka
Journal:  J Nucl Cardiol       Date:  2011-12-28       Impact factor: 5.952

4.  PET imaging for the quantification of biologically heterogeneous tumours: measuring the effect of relative position on image-based quantification of dose-painting targets.

Authors:  Keisha C McCall; David L Barbee; Michael W Kissick; Robert Jeraj
Journal:  Phys Med Biol       Date:  2010-04-22       Impact factor: 3.609

5.  A method for partial volume correction of PET-imaged tumor heterogeneity using expectation maximization with a spatially varying point spread function.

Authors:  David L Barbee; Ryan T Flynn; James E Holden; Robert J Nickles; Robert Jeraj
Journal:  Phys Med Biol       Date:  2010-01-07       Impact factor: 3.609

6.  Oesophageal endoscopic ultrasound with fine needle aspiration improves and simplifies the staging of lung cancer.

Authors:  H Kramer; J W G van Putten; W J Post; H M van Dullemen; A H H Bongaerts; J Pruim; A J H Suurmeijer; T J Klinkenberg; H Groen; H J M Groen
Journal:  Thorax       Date:  2004-07       Impact factor: 9.139

7.  Whole-body biodistribution and the influence of body activity on brain kinetic analysis of the 11C-PiB PET scan.

Authors:  Go Akamatsu; Tomoyuki Nishio; Kazuhiko Adachi; Yasuhiko Ikari; Michio Senda
Journal:  Radiol Phys Technol       Date:  2017-09-11

Review 8.  Radionuclide methods and instrumentation for breast cancer detection and diagnosis.

Authors:  Suleman Surti
Journal:  Semin Nucl Med       Date:  2013-07       Impact factor: 4.446

9.  How Do the More Recent Reconstruction Algorithms Affect the Interpretation Criteria of PET/CT Images?

Authors:  Antonella Matti; Giacomo Maria Lima; Cinzia Pettinato; Francesca Pietrobon; Felice Martinelli; Stefano Fanti
Journal:  Nucl Med Mol Imaging       Date:  2019-05-01

10.  Performance evaluation of the Q.Clear reconstruction framework versus conventional reconstruction algorithms for quantitative brain PET-MR studies.

Authors:  Daniela Ribeiro; William Hallett; Adriana A S Tavares
Journal:  EJNMMI Phys       Date:  2021-05-07
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