Quantitative Phantom-Based Image Quality Analysis of MRI Acoustic Noise Reduction Algorithm Effects

Autor:	Christopher Leatherday, Timothy Fraser
Rok vydání:	2022
Popis:	The impact of proprietary acoustic noise reduction (ANR) algorithms on ghosting, intensity uniformity, signal-to-noise ratio, and contrast-to-noise ratio were quantitatively assessed on 1.5 and 3 Tesla MRI scanners at Fiona Stanley Hospital. T1 weighted images of an MRI phantom were acquired repeatedly over three sessions with all sequence parameters on a given scanner constant except ANR being off or on. Significant differences in paired t-tests were found at 1.5T (p
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2831c7e3613b869130dc70e750a474e6 https://doi.org/10.21203/rs.3.rs-2188838/v1 Zobrazit plný text záznamu