Head-to-head comparison of adaptive statistical and model-based iterative reconstruction algorithms for submillisievert coronary CT angiography

Dominik C. Benz; Tobias A. Fuchs; Christoph Gräni; Annina A. Studer Bruengger; Olivier Clerc; Fran Mikulicic; Michael Messerli; Julia Stehli; Mathias Possner; Aju P. Pazhenkottil; Oliver Gaemperli; Philipp A. Kaufmann; Ronny R. Buechel

doi:10.1093/ehjci/jex008

January 30, 2017European Heart Journal - Cardiovascular ImagingOpen Access

Head-to-head comparison of adaptive statistical and model-based iterative reconstruction algorithms for submillisievert coronary CT angiography

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Abstract

MBIR offers substantial noise reduction with increased SNR, paving the way for implementation of submillisievert CCTA protocols in clinical routine. In contrast, inferior noise reduction by ASiR negatively affects diagnostic accuracy of submillisievert CCTA for CAD detection.

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Benz et al. (2017) studied this question.

synapsesocial.com/papers/69d76b18ef4aa71f97f31399 https://doi.org/10.1093/ehjci/jex008

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Head-to-head comparison of adaptive statistical and model-based iterative reconstruction algorithms for submillisievert coronary CT angiography

Abstract

Discussion

Cite This Study

Head-to-head comparison of adaptive statistical and model-based iterative reconstruction algorithms for submillisievert coronary CT angiography

Abstract

Discussion

Cite This Study

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