Literature DB >> 32043682

Simultaneous voxel-based magnetic susceptibility and morphometry analysis using magnetization-prepared spoiled turbo multiple gradient echo.

Hirohito Kan1, Yuto Uchida2,3, Nobuyuki Arai1, Yoshino Ueki4, Toshitaka Aoki1, Harumasa Kasai1, Hiroshi Kunitomo1, Yasujiro Hirose1, Noriyuki Matsukawa2, Yuta Shibamoto1.   

Abstract

This study aimed to develop and test a simultaneous acquisition and analysis pipeline for voxel-based magnetic susceptibility and morphometry (VBMSM) on a single dataset using young volunteers, elderly healthy volunteers, and an Alzheimer's disease (AD) group. 3D T1 -weighted and multi-echo phase images for VBM and quantitative susceptibility mapping (QSM) were simultaneously acquired using a magnetization-prepared spoiled turbo multiple gradient echo sequence with inversion pulse for QSM (MP-QSM). The magnitude image was split into gray matter (GM) and white matter (WM) and was spatially normalized. The susceptibility map was reconstructed from the phase images. The segmented image and susceptibility map were compared with those obtained from conventional multiple spoiled gradient echo (mGRE) and MP-spoiled gradient echo (MP-GRE) in healthy volunteers to validate the availability of MP-QSM by numerical measurements. To assess the feasibility of the VBMSM analysis pipeline, voxel-based comparisons of susceptibility and morphometry in MP-QSM were conducted in volunteers with a bimodal age distribution, and in elderly volunteers and the AD group, using spatially normalized GM and WM volume images and a susceptibility map. GM/WM contrasts in MP-QSM, MP-GRE, and mGRE were 0.14 ± 0.011, 0.17 ± 0.015, and 0.045 ± 0.010, respectively. Segmented GM and WM volumes in the MP-QSM closely coincided with those in the MP-GRE. Region of interest analyses indicated that the mean susceptibility values in MP-QSM were completely in agreement with those in mGRE. In an evaluation of the aging effect, a significant increase and decrease in susceptibility and volume were found by VBMSM in deep GM and WM, respectively. Between the elderly volunteers and the AD group, the characteristic susceptibility and volume changes in GM and WM were observed. The proposed MP-QSM sequence makes it possible to acquire acceptable-quality images for simultaneous analysis and determine brain atrophy and susceptibility distribution without image registration by using voxel-based analyses.
© 2020 John Wiley & Sons, Ltd.

Entities:  

Keywords:  aging brain; quantitative susceptibility mapping; voxel-based morphometry

Mesh:

Year:  2020        PMID: 32043682     DOI: 10.1002/nbm.4272

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  5 in total

1.  A diagnostic index based on quantitative susceptibility mapping and voxel-based morphometry may improve early diagnosis of Alzheimer's disease.

Authors:  Ryota Sato; Kohsuke Kudo; Niki Udo; Masaaki Matsushima; Ichiro Yabe; Akinori Yamaguchi; Khin Khin Tha; Makoto Sasaki; Masafumi Harada; Noriyuki Matsukawa; Tomoki Amemiya; Yasuo Kawata; Yoshitaka Bito; Hisaaki Ochi; Toru Shirai
Journal:  Eur Radiol       Date:  2022-02-08       Impact factor: 5.315

Review 2.  Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder?

Authors:  Farzaneh Nikparast; Zohreh Ganji; Hoda Zare
Journal:  BMC Neurosci       Date:  2022-07-28       Impact factor: 3.264

Review 3.  Brain pathological changes during neurodegenerative diseases and their identification methods: How does QSM perform in detecting this process?

Authors:  Farzaneh Nikparast; Zohreh Ganji; Mohammad Danesh Doust; Reyhane Faraji; Hoda Zare
Journal:  Insights Imaging       Date:  2022-04-13

4.  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 5.  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

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.