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

Jim Xiuquan Ji; Hao Pan; Zhi Pei Liang

doi:10.1109/TMI.2003.816957

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

Jim Xiuquan Ji, Hao Pan, Zhi Pei Liang

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	1131-1140
Number of pages	10
Journal	IEEE transactions on medical imaging
Volume	22
Issue number	9
DOIs	https://doi.org/10.1109/TMI.2003.816957
State	Published - Sep 2003

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

Online availability

10.1109/TMI.2003.816957

Library availability

Discover UIUC Full Text

Cite this

@article{e31bf0d97c34472bad4384678bc66fc2,

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 = "Ji, {Jim Xiuquan} and Hao Pan and Liang, {Zhi Pei}",

note = "Manuscript received December 13, 2002; revised April 4, 2003. This work ws supported by the National Science Foundation (NSF) under Grant BES-95-02121. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was A. A. Amini. Asterisk indicates corresponding author.",

year = "2003",

month = sep,

doi = "10.1109/TMI.2003.816957",

language = "English (US)",

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 Xiuquan

AU - Pan, Hao

AU - Liang, Zhi Pei

N1 - Manuscript received December 13, 2002; revised April 4, 2003. This work ws supported by the National Science Foundation (NSF) under Grant BES-95-02121. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was A. A. Amini. Asterisk indicates corresponding author.

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

SN - 0278-0062

VL - 22

SP - 1131

EP - 1140

JO - IEEE transactions on medical imaging

JF - IEEE transactions on medical imaging

IS - 9

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this