Literature DB >> 29132939

Automated brain tissue and myelin volumetry based on quantitative MR imaging with various in-plane resolutions.

C Andica1, A Hagiwara2, M Hori1, M Nakazawa1, M Goto3, S Koshino4, K Kamagata1, K K Kumamaru1, S Aoki1.   

Abstract

BACKGROUND AND
PURPOSE: Segmented brain tissue and myelin volumes can now be automatically calculated using dedicated software (SyMRI), which is based on quantification of R1 and R2 relaxation rates and proton density. The aim of this study was to determine the validity of SyMRI brain tissue and myelin volumetry using various in-plane resolutions.
METHODS: We scanned 10 healthy subjects on a 1.5T MR scanner with in-plane resolutions of 0.8, 2.0 and 3.0mm. Two scans were performed for each resolution. The acquisition time was 7-min and 24-sec for 0.8mm, 3-min and 9-sec for 2.0mm and 1-min and 56-sec for 3.0mm resolutions. The volumes of white matter (WM), gray matter (GM), cerebrospinal fluid (CSF), non-WM/GM/CSF (NoN), brain parenchymal volume (BPV), intracranial volume (ICV) and myelin were compared between in-plane resolutions. Repeatability for each resolution was then analyzed.
RESULTS: No significant differences in volumes measured were found between the different in-plane resolutions, except for NoN between 0.8mm and 2.0mm and between 2.0mm and 3.0mm. The repeatability error value for the WM, GM, CSF, NoN, BPV and myelin volumes relative to ICV was 0.97%, 1.01%, 0.65%, 0.86%, 1.06% and 0.25% in 0.8mm; 1.22%, 1.36%, 0.73%, 0.37%, 1.18% and 0.35% in 2.0mm and 1.18%, 1.02%, 0.96%, 0.45%, 1.36%, and 0.28% in 3.0mm resolutions.
CONCLUSION: SyMRI brain tissue and myelin volumetry with low in-plane resolution and short acquisition times is robust and has a good repeatability so could be useful for follow-up studies.
Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Automatic brain tissue volumetry; Myelin measurement; Quantitative MRI; Synthetic MRI

Mesh:

Year:  2017        PMID: 29132939     DOI: 10.1016/j.neurad.2017.10.002

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  14 in total

1.  Brain tissue and myelin volumetric analysis in multiple sclerosis at 3T MRI with various in-plane resolutions using synthetic MRI.

Authors:  Laetitia Saccenti; Christina Andica; Akifumi Hagiwara; Kazumasa Yokoyama; Mariko Yoshida Takemura; Shohei Fujita; Tomoko Maekawa; Koji Kamagata; Alice Le Berre; Masaaki Hori; Nobutaka Hattori; Shigeki Aoki
Journal:  Neuroradiology       Date:  2019-06-18       Impact factor: 2.804

2.  Synthetic MRI in children with tuberous sclerosis complex.

Authors:  Gokcen Coban; Ekim Gumeler; Safak Parlak; Bahadir Konuskan; Jale Karakaya; Dilek Yalnizoglu; Banu Anlar; Kader K Oguz
Journal:  Insights Imaging       Date:  2022-07-07

3.  The effect of scan parameters on T1, T2 relaxation times measured with multi-dynamic multi-echo sequence: a phantom study.

Authors:  Zuofeng Zheng; Jiafei Yang; Dongpo Zhang; Jun Ma; Hongxia Yin; Yawen Liu; Zhenchang Wang
Journal:  Phys Eng Sci Med       Date:  2022-05-13

4.  Gray Matter Alterations in Early and Late Relapsing-Remitting Multiple Sclerosis Evaluated with Synthetic Quantitative Magnetic Resonance Imaging.

Authors:  Christina Andica; Akifumi Hagiwara; Koji Kamagata; Kazumasa Yokoyama; Keigo Shimoji; Asami Saito; Yuki Takenaka; Misaki Nakazawa; Masaaki Hori; Julien Cohen-Adad; Mariko Yoshida Takemura; Nobutaka Hattori; Shigeki Aoki
Journal:  Sci Rep       Date:  2019-05-31       Impact factor: 4.379

5.  Synthetic MRI in Neurofibromatosis Type 1.

Authors:  G Coban; S Parlak; E Gumeler; H Altunbuker; B Konuşkan; J Karakaya; B Anlar; K K Oguz
Journal:  AJNR Am J Neuroradiol       Date:  2021-07-15       Impact factor: 4.966

6.  Myelin Measurement: Comparison Between Simultaneous Tissue Relaxometry, Magnetization Transfer Saturation Index, and T1w/T2w Ratio Methods.

Authors:  Akifumi Hagiwara; Masaaki Hori; Koji Kamagata; Marcel Warntjes; Daisuke Matsuyoshi; Misaki Nakazawa; Ryo Ueda; Christina Andica; Saori Koshino; Tomoko Maekawa; Ryusuke Irie; Tomohiro Takamura; Kanako Kunishima Kumamaru; Osamu Abe; Shigeki Aoki
Journal:  Sci Rep       Date:  2018-07-12       Impact factor: 4.379

7.  Generative models: an upcoming innovation in musculoskeletal radiology? A preliminary test in spine imaging.

Authors:  Fabio Galbusera; Tito Bassani; Gloria Casaroli; Salvatore Gitto; Edoardo Zanchetta; Francesco Costa; Luca Maria Sconfienza
Journal:  Eur Radiol Exp       Date:  2018-10-31

8.  Myelin Measurement Using Quantitative Magnetic Resonance Imaging: A Correlation Study Comparing Various Imaging Techniques in Patients with Multiple Sclerosis.

Authors:  Laetitia Saccenti; Akifumi Hagiwara; Christina Andica; Kazumasa Yokoyama; Shohei Fujita; Shimpei Kato; Tomoko Maekawa; Koji Kamagata; Alice Le Berre; Masaaki Hori; Akihiko Wada; Ukihide Tateishi; Nobutaka Hattori; Shigeki Aoki
Journal:  Cells       Date:  2020-02-08       Impact factor: 6.600

9.  The Utility of a Convolutional Neural Network for Generating a Myelin Volume Index Map from Rapid Simultaneous Relaxometry Imaging.

Authors:  Yasuhiko Tachibana; Akifumi Hagiwara; Masaaki Hori; Jeff Kershaw; Misaki Nakazawa; Tokuhiko Omatsu; Riwa Kishimoto; Kazumasa Yokoyama; Nobutaka Hattori; Shigeki Aoki; Tatsuya Higashi; Takayuki Obata
Journal:  Magn Reson Med Sci       Date:  2019-12-27       Impact factor: 2.471

Review 10.  Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification, Radiomics, and Artificial Intelligence.

Authors:  Akifumi Hagiwara; Shohei Fujita; Yoshiharu Ohno; Shigeki Aoki
Journal:  Invest Radiol       Date:  2020-09       Impact factor: 10.065

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