Software-based noise reduction in cranial magnetic resonance imaging: Influence on image quality.
Philipp Fuelkell; Soenke Langner; Nele Friedrich; Marie-Luise Kromrey; Christoph G Radosa; Ivan Platzek; Birger Mensel; Jens-Peter Kühn · 2018 · PLoS ONE
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
OBJECTIVES:To investigate acoustic noise reduction, image quality and white matter lesion detection rates of cranial magnetic resonance imaging (MRI) scans acquired with and without sequence-based acoustic noise reduction software. MATERIAL AND METHODS:Thirty-one patients, including 18 men and 13 women, with a mean age of 58.3±14.5 years underwent cranial MRI. A fluid-attenuated inversion recovery (FLAIR) sequence was acquired with and without acoustic noise reduction using the Quiet Suite (QS) software (Siemens Healthcare). During data acquisition, peak sound pressure levels were measured wit
Abstract by Philipp Fuelkell; Soenke Langner; Nele Friedrich; Marie-Luise Kromrey; Christoph G Radosa; Ivan Platzek; Birger Mensel; Jens-Peter Kühn, PLoS ONE (2018) — licensed CC BY 4.0.
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Metadata source: DOAJ · DOI 10.1371/journal.pone.0206196