Literature DB >> 28526432

Quantitative susceptibility mapping using principles of echo shifting with a train of observations sequence on 1.5T MRI.

Hirohito Kan1, Nobuyuki Arai2, Harumasa Kasai3, Hiroshi Kunitomo4, Yasujiro Hirose5, Yuta Shibamoto6.   

Abstract

PURPOSE: To evaluate the accuracy of susceptibility estimated from the principles of echo shifting with a train of observations (PRESTO) sequence using a 1.5T MRI system, we conducted experiments on the human brain using the PRESTO sequence and compared our results with the susceptibility obtained from spoiled gradient-recalled echo (GRE) sequence with flow compensation using quantitative susceptibility mapping (QSM) reconstruction.
MATERIALS AND METHODS: Experiments on the human brain were conducted on 12 healthy volunteers (27±4years) using PRESTO and spoiled GRE sequences on a 1.5T scanner. The PRESTO sequence is an echo-shifted gradient echo sequence that allows high susceptibility sensitivity and rapid acquisition because of TE>TR compared with the spoiled GRE sequence. QSM analysis was performed on the obtained phase images using the iLSQR method. Estimated susceptibility maps were used for region of interest analyses and estimation of line profiles through iron-rich tissue and major vessels.
RESULTS: Our results demonstrated that susceptibility maps were accurately estimated, without error, by QSM analysis of PRESTO and spoiled GRE sequences. Acquisition time in the PRESTO sequence was reduced by 43% compared with that in the spoiled GRE sequence. Differences did exist between susceptibility maps in PRESTO and spoiled GRE sequences for visualization and quantitative values of major blood vessels and the areas around them
CONCLUSION: The PRESTO sequence enables correct estimation of tissue susceptibility with rapid acquisition and may be useful for QSM analysis of clinical use of 1.5T scanners.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  1.5T MRI; Principles of echo shifting with a train of observations; Quantitative susceptibility mapping

Mesh:

Year:  2017        PMID: 28526432     DOI: 10.1016/j.mri.2017.05.002

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


  4 in total

1.  Visualization of Nigrosome 1 from the Viewpoint of Anatomic Structure.

Authors:  N Arai; H Kan; M Ogawa; Y Uchida; M Takizawa; K Omori; T Miyati; H Kasai; H Kunitomo; Y Shibamoto
Journal:  AJNR Am J Neuroradiol       Date:  2019-12-05       Impact factor: 3.825

2.  Improvement of Signal Inhomogeneity Induced by Radio-frequency Transmit-related Phase Error for Single-step Quantitative Susceptibility Mapping Reconstruction.

Authors:  Hirohito Kan; Nobuyuki Arai; Masahiro Takizawa; Harumasa Kasai; Hiroshi Kunitomo; Yasujiro Hirose; Yuta Shibamoto
Journal:  Magn Reson Med Sci       Date:  2019-02-25       Impact factor: 2.471

3.  Penumbra Detection With Oxygen Extraction Fraction Using Magnetic Susceptibility in Patients With Acute Ischemic Stroke.

Authors:  Yuto Uchida; Hirohito Kan; Hiroyasu Inoue; Masahiro Oomura; Haruto Shibata; Yuya Kano; Tomoyuki Kuno; Toshihiko Usami; Koji Takada; Kentaro Yamada; Kohsuke Kudo; Noriyuki Matsukawa
Journal:  Front Neurol       Date:  2022-02-11       Impact factor: 4.003

Review 4.  Quantitative susceptibility mapping as an imaging biomarker for Alzheimer's disease: The expectations and limitations.

Authors:  Yuto Uchida; Hirohito Kan; Keita Sakurai; Kenichi Oishi; Noriyuki Matsukawa
Journal:  Front Neurosci       Date:  2022-08-05       Impact factor: 5.152

  4 in total

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