Large deformation image matching via volume imagery

Lei Wang*, Michael I. Miller

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


We present a new algorithm for large deformation image matching via volume data. The image matching problem is stated as a control problem with the optimal diffeomorphic match constructed to minimize a running smoothness cost on a velocity field generating the diffeomorphism while simultaneously minimizing a matching end point condition of the imagery. The diffeomorphic deformation field on the image space is generated by numerically integrating the velocity field.

Original languageEnglish (US)
Pages (from-to)317-323
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Dec 1 1998
EventVision Geometry VII - San Diego, CA, United States
Duration: Jul 20 1998Jul 22 1998

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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