Literature DB >> 26481912

Erratum to: Impact of PET/CT image reconstruction methods and liver uptake normalization strategies on quantitative image analysis.

Georg Kuhnert1, Ronald Boellaard2, Sergej Sterzer1, Deniz Kahraman1, Matthias Scheffler3, Jürgen Wolf3, Markus Dietlein1, Alexander Drzezga1, Carsten Kobe4.   

Abstract

Year:  2016        PMID： 26481912     DOI： 10.1007/s00259-015-3230-3

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN： 1619-7070            Impact factor:   9.236


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  4 in total

Review 1.  EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies.

Authors:  Nicolas Aide; Charline Lasnon; Patrick Veit-Haibach; Terez Sera; Bernhard Sattler; Ronald Boellaard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-06-16       Impact factor: 9.236

2.  Impact of the EARL harmonization program on automatic delineation of metabolic active tumour volumes (MATVs).

Authors:  Charline Lasnon; Blandine Enilorac; Hosni Popotte; Nicolas Aide
Journal:  EJNMMI Res       Date:  2017-03-31       Impact factor: 3.138

3.  Convolutional neural networks for automatic image quality control and EARL compliance of PET images.

Authors:  Elisabeth Pfaehler; Daniela Euba; Andreas Rinscheid; Otto S Hoekstra; Josee Zijlstra; Joyce van Sluis; Adrienne H Brouwers; Constantin Lapa; Ronald Boellaard
Journal:  EJNMMI Phys       Date:  2022-08-09

4.  EORTC PET response criteria are more influenced by reconstruction inconsistencies than PERCIST but both benefit from the EARL harmonization program.

Authors:  Charline Lasnon; Elske Quak; Pierre-Yves Le Roux; Philippe Robin; Michael S Hofman; David Bourhis; Jason Callahan; David S Binns; Cédric Desmonts; Pierre-Yves Salaun; Rodney J Hicks; Nicolas Aide
Journal:  EJNMMI Phys       Date:  2017-05-30
  4 in total

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