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Deformable Image Registration of Mouse Brain MRI Data Using Hyperelastic Warping

[+] Author Affiliations
Alexander I. Veress, Jeffrey A. Weiss, Anton E. Bowden, Richard D. Rabbitt

University of Utah, Salt Lake City, UT

Robert J. Gillies, Jean-Philippe Galons

University of Arizona, Tucson, AZ

Paper No. IMECE2002-32375, pp. 195-196; 2 pages
doi:10.1115/IMECE2002-32375
From:
  • ASME 2002 International Mechanical Engineering Congress and Exposition
  • Advances in Bioengineering
  • New Orleans, Louisiana, USA, November 17–22, 2002
  • Conference Sponsors: Bioengineering Division
  • ISBN: 0-7918-3650-9 | eISBN: 0-7918-1691-5, 0-7918-1692-3, 0-7918-1693-1
  • Copyright © 2002 by ASME

abstract

Quantification of time-dependent changes in three-dimensional morphology of brain structures and neural pathways is a fundamental requirement in studies of neurodevelopment, remodeling and progression of neurological diseases [1]. However, local measures of this kind are extremely difficult due to a lack of clear fiducials. Our motivation to develop a reliable technique to quantify time-dependent changes in neuroanatomy originated with the problem of tracking progression of Niemann-Pick disease type C (NP-C), a heritable disease that causes alterations in brain development [2].

Copyright © 2002 by ASME

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