Literature DB >> 31098666

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

Sebastian Mönch1, Nico Sollmann2, Andreas Hock3, Claus Zimmer2, Jan S Kirschke2, Dennis M Hedderich2.   

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.

Entities:  

Keywords:  Accelerated imaging; Clinical quality assessment; Compressed sensing; Magnetic resonance imaging; Parallel imaging

Mesh:

Year:  2019        PMID: 31098666     DOI: 10.1007/s00062-019-00789-x

Source DB:  PubMed          Journal:  Clin Neuroradiol        ISSN: 1869-1439            Impact factor:   3.649


  2 in total

1.  A preliminary study of deep learning-based reconstruction specialized for denoising in high-frequency domain: usefulness in high-resolution three-dimensional magnetic resonance cisternography of the cerebellopontine angle.

Authors:  Hiroyuki Uetani; Takeshi Nakaura; Mika Kitajima; Yuichi Yamashita; Tadashi Hamasaki; Machiko Tateishi; Kosuke Morita; Akira Sasao; Seitaro Oda; Osamu Ikeda; Yasuyuki Yamashita
Journal:  Neuroradiology       Date:  2020-08-13       Impact factor: 2.804

2.  Acceleration of pCASL-Based Cerebral 4D MR Angiography Using Compressed SENSE: A Comparison With SENSE.

Authors:  Maoxue Wang; Yiming Ma; Fei Chen; Fei Zhou; Jilei Zhang; Bing Zhang
Journal:  Front Neurol       Date:  2022-03-21       Impact factor: 4.003

  2 in total

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