Gradient based nonuniform subsampling for information-theoretic alignment methods

Mert R. Sabuncu; Peter J. Ramadge

Gradient based nonuniform subsampling for information-theoretic alignment methods

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

Abstract

We examine the computation of information-theoretic image registration metrics and propose two (deterministic and stochastic) nonuniform subsampling methods for improving the efficiency. The proposed schemes attempt to use only the most relevant information as the basis of the computation. Both methods are shown to yield considerable improvement over the current practice of uniform subsampling. Theoretical and experimental evidence is provided.

Original language	English (US)
Pages (from-to)	1683-1686
Number of pages	4
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	26 III
State	Published - 2004
Event	Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004

All Science Journal Classification (ASJC) codes

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Cite this

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title = "Gradient based nonuniform subsampling for information-theoretic alignment methods",

abstract = "We examine the computation of information-theoretic image registration metrics and propose two (deterministic and stochastic) nonuniform subsampling methods for improving the efficiency. The proposed schemes attempt to use only the most relevant information as the basis of the computation. Both methods are shown to yield considerable improvement over the current practice of uniform subsampling. Theoretical and experimental evidence is provided.",

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year = "2004",

language = "English (US)",

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note = "Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 ; Conference date: 01-09-2004 Through 05-09-2004",

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AU - Sabuncu, Mert R.

AU - Ramadge, Peter J.

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AB - We examine the computation of information-theoretic image registration metrics and propose two (deterministic and stochastic) nonuniform subsampling methods for improving the efficiency. The proposed schemes attempt to use only the most relevant information as the basis of the computation. Both methods are shown to yield considerable improvement over the current practice of uniform subsampling. Theoretical and experimental evidence is provided.

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M3 - Conference article

AN - SCOPUS:11144348231

SN - 0589-1019

VL - 26 III

SP - 1683

EP - 1686

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004

Y2 - 1 September 2004 through 5 September 2004

ER -

Gradient based nonuniform subsampling for information-theoretic alignment methods

Abstract

All Science Journal Classification (ASJC) codes

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