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MR Imaging of Human Brain Mechanics In Vivo: New Measurements to Facilitate the Development of Computational Models of Brain Injury.
Bayly, Philip V; Alshareef, Ahmed; Knutsen, Andrew K; Upadhyay, Kshitiz; Okamoto, Ruth J; Carass, Aaron; Butman, John A; Pham, Dzung L; Prince, Jerry L; Ramesh, K T; Johnson, Curtis L.
Afiliação
  • Bayly PV; Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, USA. pvb@wustl.edu.
  • Alshareef A; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Knutsen AK; Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
  • Upadhyay K; Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, USA.
  • Okamoto RJ; Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, USA.
  • Carass A; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Butman JA; Clinical Center, National Institutes of Health, Bethesda, MD, USA.
  • Pham DL; Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
  • Prince JL; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Ramesh KT; Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, USA.
  • Johnson CL; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Ann Biomed Eng ; 49(10): 2677-2692, 2021 Oct.
Article em En | MEDLINE | ID: mdl-34212235
ABSTRACT
Computational models of the brain and its biomechanical response to skull accelerations are important tools for understanding and predicting traumatic brain injuries (TBIs). However, most models have been developed using experimental data collected on animal models and cadaveric specimens, both of which differ from the living human brain. Here we describe efforts to noninvasively measure the biomechanical response of the human brain with MRI-at non-injurious strain levels-and generate data that can be used to develop, calibrate, and evaluate computational brain biomechanics models. Specifically, this paper reports on a project supported by the National Institute of Neurological Disorders and Stroke to comprehensively image brain anatomy and geometry, mechanical properties, and brain deformations that arise from impulsive and harmonic skull loadings. The outcome of this work will be a publicly available dataset ( http//www.nitrc.org/projects/bbir ) that includes measurements on both males and females across an age range from adolescence to older adulthood. This article describes the rationale and approach for this study, the data available, and how these data may be used to develop new computational models and augment existing approaches; it will serve as a reference to researchers interested in using these data.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Lesões Encefálicas / Modelos Biológicos Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Lesões Encefálicas / Modelos Biológicos Idioma: En Ano de publicação: 2021 Tipo de documento: Article