3D quantitative synthetic MRI‐derived cortical thickness and…

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2019
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  • DOI 10.1002/jmri.26744
  • PMID https://pubmed.ncbi.nlm.nih.gov/30968991
  • OpenAlex ID W2937376573
  • Type Article
  • Language EN
  • Published 10 Apr 2019
  • Volume 50 (6)
  • Pages 1834–1842
  • Source Journal of Magnetic Resonance Imaging
  • Publisher Wiley
  • FWCI 4.35
  • Countries 1
  • Institutions 4
  • Added 10 Oct 2025
  • Updated 10 Oct 2026
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3D quantitative synthetic MRI‐derived cortical thickness and subcortical brain volumes: Scan–rescan repeatability and comparison with conventional T1‐weighted images

Article 2019 EN Hybrid

BACKGROUND: Previous quantitative synthetic MRI of the brain has been solely performed in 2D. PURPOSE: To evaluate the feasibility of the recently developed sequence 3D-QALAS for brain cortical thickness and volumetric analysis. STUDY TYPE: Reproducibility/repeatability study. SUBJECTS: Twenty-one healthy volunteers (35.6 ± 13.8 years). FIELD STRENGTH/SEQUENCE: -weighted fast spoiled gradient reca…

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4.35

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16 authors
#AuthorInstitutionsORCID
1 Shohei Fujita Juntendo University Hospital (JP)
2 Akifumi Hagiwara Corresponding Juntendo University Hospital (JP) The University of Tokyo (JP)
3 Masaaki Hori Juntendo University Hospital (JP)
4 Marcel J. B. Warntjes —
5 Koji Kamagata Juntendo University Hospital (JP)
6 Issei Fukunaga Juntendo University Hospital (JP)
7 Masami Goto Kitasato University (JP)
8 Takuya Haruyama Juntendo University Hospital (JP) Tokyo Metropolitan University (JP) —
9 Kohei Takasu Kitasato University (JP) —
10 Christina Andica Juntendo University Hospital (JP)
11 Tomoko Maekawa Juntendo University Hospital (JP) The University of Tokyo (JP)
12 Mariko Yoshida Takemura Juntendo University Hospital (JP)
13 Ryusuke Irie Juntendo University Hospital (JP) The University of Tokyo (JP)
14 Akihiko Wada Juntendo University Hospital (JP)
15 Michimasa Suzuki Juntendo University Hospital (JP)
16 Shigeki Aoki Juntendo University Hospital (JP)
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