Multiresolution elastic medical image registration in standard intensity scale

Ulaş Baǧci; Li Bai

doi:10.1109/SIBGRAPI.2007.22

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

15 Scopus citations

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.

Original language	English (US)
Title of host publication	Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing
Pages	305-312
Number of pages	8
DOIs	https://doi.org/10.1109/SIBGRAPI.2007.22
State	Published - 2007
Externally published	Yes
Event	20th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2007 - Belo Horizonte, MG, Brazil Duration: Oct 7 2007 → Oct 10 2007

Publication series

Name	Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing

Conference

Conference	20th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2007
Country/Territory	Brazil
City	Belo Horizonte, MG
Period	10/7/07 → 10/10/07

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition

Access to Document

10.1109/SIBGRAPI.2007.22

Cite this

Baǧci, U., & Bai, L. (2007). Multiresolution elastic medical image registration in standard intensity scale. In Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing (pp. 305-312). Article 4368198 (Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing). https://doi.org/10.1109/SIBGRAPI.2007.22

@inproceedings{bdc2b49477c9436d84534af16115b312,

title = "Multiresolution elastic medical image registration in standard intensity scale",

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 = "2007",

doi = "10.1109/SIBGRAPI.2007.22",

language = "English (US)",

isbn = "0769529968",

series = "Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing",

pages = "305--312",

booktitle = "Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing",

note = "20th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2007 ; Conference date: 07-10-2007 Through 10-10-2007",

}

Baǧci, U & Bai, L 2007, Multiresolution elastic medical image registration in standard intensity scale. in Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing., 4368198, Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing, pp. 305-312, 20th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2007, Belo Horizonte, MG, Brazil, 10/7/07. https://doi.org/10.1109/SIBGRAPI.2007.22

Multiresolution elastic medical image registration in standard intensity scale. / Baǧci, Ulaş; Bai, Li.
Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing. 2007. p. 305-312 4368198 (Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing).

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

TY - GEN

T1 - Multiresolution elastic medical image registration in standard intensity scale

AU - Baǧci, Ulaş

AU - Bai, Li

PY - 2007

Y1 - 2007

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.

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M3 - Conference contribution

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T3 - Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing

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BT - Proceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing

T2 - 20th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2007

Y2 - 7 October 2007 through 10 October 2007

ER -

Multiresolution elastic medical image registration in standard intensity scale

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