Medikal i̇mgelerin standart yeǧinlik ölçeǧ inde, esnek ve çok çözünürlüklü çakiştirilmasi

Ulaş Baǧci; Li Bai

doi:10.1109/SIU.2008.4632564

Medikal i̇mgelerin standart yeǧinlik ölçeǧ inde, esnek ve çok çözünürlüklü çakiştirilmasi

Translated title of the contribution: Multiresolution elastic medical image registration in standard intensity scale

Ulaş Baǧci^*, Li Bai

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with global and local image intensity variations. In this paper we describe a new multiresolution elastic image registration method that challenges these difficulties in image registration. To capture large and small scale image deformations, we use both global and local affine transformation algorithms. To address global and local image intensity variations, we apply an image intensity standardization algorithm to correct image intensity variations. This transforms image intensities into a standard intensity scale, which allows highly accurate registration of medical images.

Translated title of the contribution	Multiresolution elastic medical image registration in standard intensity scale
Original language	Turkish
Title of host publication	2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
DOIs	https://doi.org/10.1109/SIU.2008.4632564
State	Published - 2008
Externally published	Yes
Event	2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU - Aydin, Turkey Duration: Apr 20 2008 → Apr 22 2008

Publication series

Name	2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU

Conference

Conference	2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
Country/Territory	Turkey
City	Aydin
Period	4/20/08 → 4/22/08

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Communication

Access to Document

10.1109/SIU.2008.4632564

Cite this

@inproceedings{f10b079ebe294fa18fd2c3c41a676026,

title = "Medikal {\.i}mgelerin standart yeǧinlik {\"o}l{\c c}eǧ inde, esnek ve {\c c}ok {\c c}{\"o}z{\"u}n{\"u}rl{\"u}kl{\"u} {\c c}aki{\c s}tirilmasi",

abstract = "Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with global and local image intensity variations. In this paper we describe a new multiresolution elastic image registration method that challenges these difficulties in image registration. To capture large and small scale image deformations, we use both global and local affine transformation algorithms. To address global and local image intensity variations, we apply an image intensity standardization algorithm to correct image intensity variations. This transforms image intensities into a standard intensity scale, which allows highly accurate registration of medical images.",

author = "Ula{\c s} Baǧci and Li Bai",

year = "2008",

doi = "10.1109/SIU.2008.4632564",

language = "Turkish",

isbn = "9781424419999",

series = "2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU",

booktitle = "2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU",

}

Baǧci, U & Bai, L 2008, Medikal i̇mgelerin standart yeǧinlik ölçeǧ inde, esnek ve çok çözünürlüklü çakiştirilmasi. in 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU., 4632564, 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU, 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU, Aydin, Turkey, 4/20/08. https://doi.org/10.1109/SIU.2008.4632564

Medikal i̇mgelerin standart yeǧinlik ölçeǧ inde, esnek ve çok çözünürlüklü çakiştirilmasi. / Baǧci, Ulaş; Bai, Li.

2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU. 2008. 4632564 (2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Medikal i̇mgelerin standart yeǧinlik ölçeǧ inde, esnek ve çok çözünürlüklü çakiştirilmasi

AU - Baǧci, Ulaş

AU - Bai, Li

PY - 2008

Y1 - 2008

N2 - Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with global and local image intensity variations. In this paper we describe a new multiresolution elastic image registration method that challenges these difficulties in image registration. To capture large and small scale image deformations, we use both global and local affine transformation algorithms. To address global and local image intensity variations, we apply an image intensity standardization algorithm to correct image intensity variations. This transforms image intensities into a standard intensity scale, which allows highly accurate registration of medical images.

AB - Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with global and local image intensity variations. In this paper we describe a new multiresolution elastic image registration method that challenges these difficulties in image registration. To capture large and small scale image deformations, we use both global and local affine transformation algorithms. To address global and local image intensity variations, we apply an image intensity standardization algorithm to correct image intensity variations. This transforms image intensities into a standard intensity scale, which allows highly accurate registration of medical images.

UR - http://www.scopus.com/inward/record.url?scp=56449123353&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=56449123353&partnerID=8YFLogxK

U2 - 10.1109/SIU.2008.4632564

DO - 10.1109/SIU.2008.4632564

M3 - Conference contribution

AN - SCOPUS:56449123353

SN - 9781424419999

T3 - 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU

BT - 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU

Y2 - 20 April 2008 through 22 April 2008

ER -

Medikal i̇mgelerin standart yeǧinlik ölçeǧ inde, esnek ve çok çözünürlüklü çakiştirilmasi

Abstract

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Conference

ASJC Scopus subject areas

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