Literature DB >> 29154893

An interleaved sequence for simultaneous magnetic resonance angiography (MRA), susceptibility weighted imaging (SWI) and quantitative susceptibility mapping (QSM).

Yongsheng Chen1, Saifeng Liu2, Sagar Buch3, Jiani Hu4, Yan Kang5, E Mark Haacke6.   

Abstract

PURPOSE: To image the entire vasculature of the brain with complete suppression of signal from background tissue using a single 3D excitation interleaved rephased/dephased multi-echo gradient echo sequence. This ensures no loss of signal from fast flow and provides co-registered susceptibility weighted images (SWI) and quantitative susceptibility maps (QSM) from the same scan.
MATERIALS AND METHODS: The suppression of background tissue was accomplished by subtracting the flow-dephased images from the flow-rephased images with the same echo time of 12.5ms to generate a magnetic resonance angiogram and venogram (MRAV). Further, a 2.5ms flow-compensated echo was added in the rephased portion to provide sufficient signal for major arteries with fast flow. The QSM data from the rephased 12.5ms echo was used to suppress veins on the MRAV to generate an artery-only MRA. The proposed approach was tested on five healthy volunteers at 3T.
RESULTS: This three-echo interleaved GRE sequence provided complete background suppression of stationary tissues, while the short echo data gave high signal in the internal carotid and middle cerebral arteries (MCA). The contrast-to-noise ratio (CNR) of the arteries was significantly improved in the M3 territory of the MCA compared to the non-linear subtraction MRA and TOF-MRA. Veins were suppressed successfully utilizing the QSM data.
CONCLUSION: The background tissue can be properly suppressed using the proposed interleaved MRAV sequence. One can obtain whole brain MRAV, MRA, SWI, true-SWI (or tSWI) and QSM data simultaneously from a single scan. Published by Elsevier Inc.

Entities:  

Keywords:  Magnetic resonance angiography (MRA); Magnetic resonance angiography and venography (MRAV); Quantitative susceptibility mapping (QSM); Susceptibility weighted imaging (SWI)

Mesh:

Year:  2017        PMID: 29154893     DOI: 10.1016/j.mri.2017.11.005

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  8 in total

1.  Quantitative MRI using STrategically Acquired Gradient Echo (STAGE): optimization for 1.5 T scanners and T1 relaxation map validation.

Authors:  Alice Pirastru; Yongsheng Chen; Laura Pelizzari; Francesca Baglio; Mario Clerici; E Mark Haacke; Maria Marcella Laganà
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

2.  Quantitative susceptibility mapping as a measure of cerebral oxygenation in neonatal piglets.

Authors:  Brenda L Bartnik-Olson; Arlin B Blood; Michael H Terry; Shawn Fl Hanson; Christopher Day; Daniel Kido; Paggie Kim
Journal:  J Cereb Blood Flow Metab       Date:  2021-12-08       Impact factor: 6.960

3.  Susceptibility mapping of the dural sinuses and other superficial veins in the brain.

Authors:  Sagar Buch; Yongsheng Chen; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2018-10-21       Impact factor: 2.546

4.  Subvoxel vascular imaging of the midbrain using USPIO-Enhanced MRI.

Authors:  Sagar Buch; Ying Wang; Min-Gyu Park; Pavan K Jella; Jiani Hu; Yongsheng Chen; Kamran Shah; Yulin Ge; E Mark Haacke
Journal:  Neuroimage       Date:  2020-06-29       Impact factor: 7.400

Review 5.  Peripheral nerve magnetic resonance imaging.

Authors:  Yongsheng Chen; E Mark Haacke; Jun Li
Journal:  F1000Res       Date:  2019-10-28

Review 6.  Interleaved and simultaneous multi-nuclear magnetic resonance in vivo. Review of principles, applications and potential.

Authors:  Alfredo L Lopez Kolkovsky; Pierre G Carlier; Benjamin Marty; Martin Meyerspeer
Journal:  NMR Biomed       Date:  2022-04-27       Impact factor: 4.478

7.  Fatigue in patients with hereditary neuropathy with liability to pressure palsies.

Authors:  Nora E Fritz; Yongsheng Chen; Lauren Waters; Sadaf Saba; Melody Hackett; Flicia C Mada; Jun Li
Journal:  Ann Clin Transl Neurol       Date:  2020-07-28       Impact factor: 4.511

8.  Demyelination in hereditary sensory neuropathy type-1C.

Authors:  Sadaf Saba; Yongsheng Chen; Krishna Rao Maddipati; Melody Hackett; Bo Hu; Jun Li
Journal:  Ann Clin Transl Neurol       Date:  2020-07-30       Impact factor: 4.511

  8 in total

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