Emphysema quantification using hybrid versus model-based generations of iterative reconstruction: SAFIRE versus ADMIRE

To compare 2 incompatible generations of iterative reconstructions from the same raw dataset based on automatic emphysema quantification and noise reduction: a hybrid algorithm called sinogram affirmed iterative reconstruction (SAFIRE) versus a model-based algorithm called advanced modeled iterative...

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Veröffentlicht in:Medicine (Baltimore) 2019-02, Vol.98 (7), p.e14450-e14450
Hauptverfasser: Martin, Steve P., Gariani, Joanna, Feutry, Grégoire, Adler, Dan, Karenovics, Wolfram, Becker, Christoph D., Montet, Xavier
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Sprache:eng
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Zusammenfassung:To compare 2 incompatible generations of iterative reconstructions from the same raw dataset based on automatic emphysema quantification and noise reduction: a hybrid algorithm called sinogram affirmed iterative reconstruction (SAFIRE) versus a model-based algorithm called advanced modeled iterative reconstruction (ADMIRE).Raw datasets of 40 non-contrast thoracic computed tomography scanners obtained from a single acquisition on a SOMATOM Definition Flash unit (Siemens Healthcare, Forchheim) were reconstructed with 3 levels of SAFIRE and ADMIRE algorithms resulting in a total of 240 datasets. Emphysema index (EI) and image noise were compared using repeated analysis of variance (ANOVA) analysis with a P value 
ISSN:0025-7974
1536-5964
DOI:10.1097/MD.0000000000014450