Literature DB >> 34985151

Optimization of magnetization transfer contrast for EPI FLAIR brain imaging.

Serdest Demir1, Bryan Clifford2, Wei-Ching Lo2, Azadeh Tabari1, Augusto Lio M Goncalves Filho1, Min Lang1, Stephen F Cauley1,3, Kawin Setsompop4, Berkin Bilgic1, Michael H Lev1, Pamela W Schaefer1, Otto Rapalino1, Susie Y Huang1,3, Tom Hilbert5, Thorsten Feiweier5, John Conklin1,3.   

Abstract

PURPOSE: To evaluate the impact of magnetization transfer (MT) on brain tissue contrast in turbo-spin-echo (TSE) and EPI fluid-attenuated inversion recovery (FLAIR) images, and to optimize an MT-prepared EPI FLAIR pulse sequence to match the tissue contrast of a clinical reference TSE FLAIR protocol.
METHODS: Five healthy volunteers underwent 3T brain MRI, including single slice TSE FLAIR, multi-slice TSE FLAIR, EPI FLAIR without MT-preparation, and MT-prepared EPI FLAIR with variations of the MT-preparation parameters, including number of preparation pulses, pulse amplitude, and resonance offset. Automated co-registration and gray matter (GM) versus white matter (WM) segmentation was performed using a T1-MPRAGE acquisition, and the GM versus WM signal intensity ratio (contrast ratio) was calculated for each FLAIR acquisition.
RESULTS: Without MT preparation, EPI FLAIR showed poor tissue contrast (contrast ratio = 0.98), as did single slice TSE FLAIR. Multi-slice TSE FLAIR provided high tissue contrast (contrast ratio = 1.14). MT-prepared EPI FLAIR closely approximated the contrast of the multi-slice TSE FLAIR images for two combinations of the MT-preparation parameters (contrast ratio = 1.14). Optimized MT-prepared EPI FLAIR provided a 50% reduction in scan time compared to the reference TSE FLAIR acquisition.
CONCLUSION: Optimized MT-prepared EPI FLAIR provides comparable brain tissue contrast to the multi-slice TSE FLAIR images used in clinical practice.
© 2022 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  FLAIR; contrast; echo planar imaging; magnetization transfer

Mesh:

Year:  2022        PMID: 34985151      PMCID: PMC8847235          DOI: 10.1002/mrm.29141

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  17 in total

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Authors:  P S Melki; R V Mulkern
Journal:  Magn Reson Med       Date:  1992-03       Impact factor: 4.668

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Journal:  Radiographics       Date:  1996-05       Impact factor: 5.333

4.  Diagnostic performance of a new multicontrast one-minute full brain exam (EPIMix) in neuroradiology: A prospective study.

Authors:  Anna F Delgado; Annika Kits; Jessica Bystam; Magnus Kaijser; Mikael Skorpil; Tim Sprenger; Stefan Skare
Journal:  J Magn Reson Imaging       Date:  2019-04-01       Impact factor: 4.813

5.  Clinical feasibility of 1-min ultrafast brain MRI compared with routine brain MRI using synthetic MRI: a single center pilot study.

Authors:  Kyeong Hwa Ryu; Dae Seob Choi; Hye Jin Baek; Soo Buem Cho; Ji Young Ha; Tae Byeong Kim; Moon Jung Hwang
Journal:  J Neurol       Date:  2018-12-07       Impact factor: 4.849

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Journal:  Neurology       Date:  2020-09-16       Impact factor: 9.910

7.  Intravenous thrombolysis in unwitnessed stroke onset: MR WITNESS trial results.

Authors:  Lee H Schwamm; Ona Wu; Shlee S Song; Lawrence L Latour; Andria L Ford; Amie W Hsia; Alona Muzikansky; Rebecca A Betensky; Albert J Yoo; Michael H Lev; Gregoire Boulouis; Arne Lauer; Pedro Cougo; William A Copen; Gordon J Harris; Steven Warach
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8.  Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo.

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Journal:  Magn Reson Med       Date:  1989-04       Impact factor: 4.668

9.  A new method for improving functional-to-structural MRI alignment using local Pearson correlation.

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Journal:  Neuroimage       Date:  2008-10-11       Impact factor: 6.556

10.  Six-minute magnetic resonance imaging protocol for evaluation of acute ischemic stroke: pushing the boundaries.

Authors:  Kambiz Nael; Rihan Khan; Gagandeep Choudhary; Arash Meshksar; Pablo Villablanca; Jennifer Tay; Kendra Drake; Bruce M Coull; Chelsea S Kidwell
Journal:  Stroke       Date:  2014-06-10       Impact factor: 7.914

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