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Multi-Channel 4D Parametrized Atlas of Macro- and Microstructural Neonatal Brain Development.
Uus, Alena; Grigorescu, Irina; Pietsch, Maximilian; Batalle, Dafnis; Christiaens, Daan; Hughes, Emer; Hutter, Jana; Cordero Grande, Lucilio; Price, Anthony N; Tournier, Jacques-Donald; Rutherford, Mary A; Counsell, Serena J; Hajnal, Joseph V; Edwards, A David; Deprez, Maria.
Afiliação
  • Uus A; Department of Biomedical Engineering, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
  • Grigorescu I; Department of Biomedical Engineering, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
  • Pietsch M; Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
  • Batalle D; Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
  • Christiaens D; Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
  • Hughes E; Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
  • Hutter J; Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium.
  • Cordero Grande L; Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
  • Price AN; Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
  • Tournier JD; Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
  • Rutherford MA; Biomedical Image Technologies, ETSI Telecomunicacion, Universidad Politécnica de Madrid, CIBER-BBN, Madrid, Spain.
  • Counsell SJ; Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
  • Hajnal JV; Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
  • Edwards AD; Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
  • Deprez M; Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, United Kingdom.
Front Neurosci ; 15: 661704, 2021.
Article em En | MEDLINE | ID: mdl-34220423
ABSTRACT
Structural (also known as anatomical) and diffusion MRI provide complimentary anatomical and microstructural characterization of early brain maturation. However, the existing models of the developing brain in time include only either structural or diffusion MRI channels. Furthermore, there is a lack of tools for combined analysis of structural and diffusion MRI in the same reference space. In this work, we propose a methodology to generate a multi-channel (MC) continuous spatio-temporal parametrized atlas of the brain development that combines multiple MRI-derived parameters in the same anatomical space during 37-44 weeks of postmenstrual age range. We co-align structural and diffusion MRI of 170 normal term subjects from the developing Human Connectomme Project using MC registration driven by both T2-weighted and orientation distribution functions channels and fit the Gompertz model to the signals and spatial transformations in time. The resulting atlas consists of 14 spatio-temporal microstructural indices and two parcellation maps delineating white matter tracts and neonatal transient structures. In order to demonstrate applicability of the atlas for quantitative region-specific studies, a comparison analysis of 140 term and 40 preterm subjects scanned at the term-equivalent age is performed using different MRI-derived microstructural indices in the atlas reference space for multiple white matter regions, including the transient compartments. The atlas and software will be available after publication of the article.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido