Large deformation image matching via volume imagery

Lei Wang; Michael I. Miller

doi:10.1117/12.323268

Large deformation image matching via volume imagery

Lei Wang^*, Michael I. Miller

^*Corresponding author for this work

Psychiatry and Behavioral Sciences

Research output: Contribution to journal › Conference article › peer-review

Abstract

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 language	English (US)
Pages (from-to)	317-323
Number of pages	7
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3454
DOIs	https://doi.org/10.1117/12.323268
State	Published - Dec 1 1998
Event	Vision Geometry VII - San Diego, CA, United States Duration: Jul 20 1998 → Jul 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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title = "Large deformation image matching via volume imagery",

abstract = "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.",

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AB - 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.

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Large deformation image matching via volume imagery

Abstract

ASJC Scopus subject areas

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