Open AccessEmphysema quantification using hybrid versus model-based generations of iterative reconstruction
Author(s) -
Steve Philippe Martin,
Joanna Gariani,
Grégoire Feutry,
Dan Adler,
Wolfram Karenovicŝ,
Christoph Becker,
Xavier Montet
Publication year - 2019
Publication title -
medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 148
eISSN - 1536-5964
pISSN - 0025-7974
DOI - 10.1097/md.0000000000014450
Subject(s) - medicine
Abstract 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 <.05 considered statistically significant. EI and image noise were stable between both generations of IR when reconstructed with the same level ( P ≥0.31 and P ≥0.06, respectively). SAFIRE and ADMIRE perform equally in terms of emphysema quantification and noise reduction.