Further Analysis of Interpolation Effects in Mutual Information-Based Image Registration

Jim Ji, Hao Pan, Zhi Pei Liang

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

This paper presents an analysis of the mutual information (MI) metric in rigid-body registration of two digital images, in particular, local fluctuations of the MI value due to interpolation. In contrast to existing work in this area, this paper starts with two hypothetical continuous images, based on which both sampling and interpolation effects are analyzed. This analysis indicates that an "ideal" interpolator may not be able to completely suppress the undesirable local minima of the MI metric if the sampling effect is not negligible. Several preprocessing methods are discussed for reducing the interpolation effects.

Original languageEnglish
Pages (from-to)1131-1140
Number of pages10
JournalIEEE Transactions on Medical Imaging
Volume22
Issue number9
DOIs
Publication statusPublished - Sep 2003
Externally publishedYes

Fingerprint

Image registration
Interpolation
Sampling

Keywords

  • Image registration
  • Interpolation effect
  • Mutual information
  • Sampling effect

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Further Analysis of Interpolation Effects in Mutual Information-Based Image Registration. / Ji, Jim; Pan, Hao; Liang, Zhi Pei.

In: IEEE Transactions on Medical Imaging, Vol. 22, No. 9, 09.2003, p. 1131-1140.

Research output: Contribution to journalArticle

@article{08daa1fd172846a7b7e6cf53b550f899,
title = "Further Analysis of Interpolation Effects in Mutual Information-Based Image Registration",
abstract = "This paper presents an analysis of the mutual information (MI) metric in rigid-body registration of two digital images, in particular, local fluctuations of the MI value due to interpolation. In contrast to existing work in this area, this paper starts with two hypothetical continuous images, based on which both sampling and interpolation effects are analyzed. This analysis indicates that an {"}ideal{"} interpolator may not be able to completely suppress the undesirable local minima of the MI metric if the sampling effect is not negligible. Several preprocessing methods are discussed for reducing the interpolation effects.",
keywords = "Image registration, Interpolation effect, Mutual information, Sampling effect",
author = "Jim Ji and Hao Pan and Liang, {Zhi Pei}",
year = "2003",
month = "9",
doi = "10.1109/TMI.2003.816957",
language = "English",
volume = "22",
pages = "1131--1140",
journal = "IEEE Transactions on Medical Imaging",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "9",

}

TY - JOUR

T1 - Further Analysis of Interpolation Effects in Mutual Information-Based Image Registration

AU - Ji, Jim

AU - Pan, Hao

AU - Liang, Zhi Pei

PY - 2003/9

Y1 - 2003/9

N2 - This paper presents an analysis of the mutual information (MI) metric in rigid-body registration of two digital images, in particular, local fluctuations of the MI value due to interpolation. In contrast to existing work in this area, this paper starts with two hypothetical continuous images, based on which both sampling and interpolation effects are analyzed. This analysis indicates that an "ideal" interpolator may not be able to completely suppress the undesirable local minima of the MI metric if the sampling effect is not negligible. Several preprocessing methods are discussed for reducing the interpolation effects.

AB - This paper presents an analysis of the mutual information (MI) metric in rigid-body registration of two digital images, in particular, local fluctuations of the MI value due to interpolation. In contrast to existing work in this area, this paper starts with two hypothetical continuous images, based on which both sampling and interpolation effects are analyzed. This analysis indicates that an "ideal" interpolator may not be able to completely suppress the undesirable local minima of the MI metric if the sampling effect is not negligible. Several preprocessing methods are discussed for reducing the interpolation effects.

KW - Image registration

KW - Interpolation effect

KW - Mutual information

KW - Sampling effect

UR - http://www.scopus.com/inward/record.url?scp=0141794492&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0141794492&partnerID=8YFLogxK

U2 - 10.1109/TMI.2003.816957

DO - 10.1109/TMI.2003.816957

M3 - Article

C2 - 12956268

AN - SCOPUS:0141794492

VL - 22

SP - 1131

EP - 1140

JO - IEEE Transactions on Medical Imaging

JF - IEEE Transactions on Medical Imaging

SN - 0278-0062

IS - 9

ER -