Magnetic Resonance Imaging of the Brain Using Compressed Sensing - Quality Assessment in Daily Clinical Routine.

Mönch, Sebastian; Sollmann, Nico; Hock, Andreas; Zimmer, Claus; Kirschke, Jan S; Hedderich, Dennis M

doi:10.1007/s00062-019-00789-x

2020

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Title:: Magnetic Resonance Imaging of the Brain Using Compressed Sensing - Quality Assessment in Daily Clinical Routine.
Document type:: Journal Article
Author(s):: Mönch, Sebastian; Sollmann, Nico; Hock, Andreas; Zimmer, Claus; Kirschke, Jan S; Hedderich, Dennis M
Abstract:: PURPOSE: To assess the effect of compressed sensing (CS) on image quality and acquisition speed in routine brain magnetic resonance imaging (MRI). METHODS: During a 2-month implementation period of CS, two senior neuroradiologists, one MRI physicist and one application specialist optimized the CS acceleration factor to reduce scan time and improve spatial resolution, while maintaining image quality. Afterwards, two neuroradiologists independently scored image quality on a 5-point Likert scale in 3‑dimensional (3D) fluid attenuation inversion recovery (FLAIR), 3D double inversion recovery (DIR), 3D T2, 3D T1, 3D T1 + gadoteric acid, axial T2, axial FLAIR, axial T2*, and 3D arterial time-of-flight MR angiography (art. TOF) sequences acquired during 1 week before (CS-) and after (CS+) the implementation of CS. Time of acquisition was recorded for all sequences. RESULTS: A total of 51 CS- and 48 CS+ patients were included. The median scan time reduction was 29.3% (range 0.0-58.4%), median voxel size reduction was 10.5% (0.0-33.3%). The CS+ image quality was rated superior for 3D FLAIR (p < 0.001), 3D T2 (p = 0.001), and axial T2* sequences (p = 0.024). For all other sequences, no statistical difference in image quality was observed. Interreader agreement regarding image quality was good for all sequences (weighted Cohen's κ > 0.5). CONCLUSION: The use of CS saves considerable imaging time while allowing to increase spatial resolution in routine clinical brain MRI without loss in image quality.
Journal title abbreviation:: Clin Neuroradiol
Year:: 2020
Journal volume:: 30
Journal issue:: 2
Pages contribution:: 279-286
Fulltext / DOI:: doi:10.1007/s00062-019-00789-x
Pubmed ID:: http://view.ncbi.nlm.nih.gov/pubmed/31098666
Print-ISSN:: 1869-1439
TUM Institution:: Fachgebiet Neuroradiologie (Prof. Zimmer)
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