Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images

Open Access

Peer-reviewed

Research Article

Teresa M. Abney,

Affiliations Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri, United States of America, Center for Materials Innovation, Washington University in St. Louis, St. Louis, Missouri, United States of America
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Yuan Feng,

Affiliation Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri, United States of America
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Robert Pless,

Affiliation Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America
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Ruth J. Okamoto,

Affiliation Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri, United States of America
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Guy M. Genin,

Affiliations Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri, United States of America, Center for Materials Innovation, Washington University in St. Louis, St. Louis, Missouri, United States of America
⨯
Philip V. Bayly

* E-mail: baylyp@seas.wustl.edu

Affiliations Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri, United States of America, Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America
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Magnetic resonance imaging
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Skull
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Gelatin
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Vibration
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Imaging techniques
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Principal component analysis
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Head
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Deformation
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