Comparison of registration methods using mamographic images

Yago Díez; Arnau Oliver; Xavier Lladóez; Robert Martíez

doi:10.1109/ICIP.2010.5653325

Comparison of registration methods using mamographic images

Yago Díez, Arnau Oliver, Xavier Lladóez, Robert Martíez

INF - System Information Sciences

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

8 Citations (Scopus)

Abstract

The detection of architectural distortions and abnormal structures in mammographic images can be based on the analysis of bilateral and temporal cases using image registration. This work presents a quantitative evaluation of eight state-of-the art image registration methods applied to mammographic images. These methods range from a global and rigid transformation to local deformable paradigms using various metrics and multi-resolution approaches. The aim of this study is to assess the suitability of these methods for mammographic image analysis. Evaluation using temporal cases based on quantitative analysis gives an indication of the accuracy and robustness of the different algorithms. This work shows that local deformable paradigms (B-spline deformations) obtain the most accurate registration results.

Original language	English
Title of host publication	2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages	4421-4424
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2010.5653325
Publication status	Published - 2010 Dec 1
Event	2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong Duration: 2010 Sep 26 → 2010 Sep 29

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2010 17th IEEE International Conference on Image Processing, ICIP 2010
Country	Hong Kong
City	Hong Kong
Period	10/9/26 → 10/9/29

Keywords

Algorithm evaluation
Image registration
Mammographic image analysis

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2010.5653325

Fingerprint Dive into the research topics of 'Comparison of registration methods using mamographic images'. Together they form a unique fingerprint.

Cite this

Comparison of registration methods using mamographic images. / Díez, Yago; Oliver, Arnau; Lladóez, Xavier; Martíez, Robert.

2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings. 2010. p. 4421-4424 5653325 (Proceedings - International Conference on Image Processing, ICIP).

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

Díez, Y, Oliver, A, Lladóez, X & Martíez, R 2010, Comparison of registration methods using mamographic images. in 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings., 5653325, Proceedings - International Conference on Image Processing, ICIP, pp. 4421-4424, 2010 17th IEEE International Conference on Image Processing, ICIP 2010, Hong Kong, Hong Kong, 10/9/26. https://doi.org/10.1109/ICIP.2010.5653325

@inproceedings{ff8f3a5cc74140d59dfc8b079c095c04,

title = "Comparison of registration methods using mamographic images",

abstract = "The detection of architectural distortions and abnormal structures in mammographic images can be based on the analysis of bilateral and temporal cases using image registration. This work presents a quantitative evaluation of eight state-of-the art image registration methods applied to mammographic images. These methods range from a global and rigid transformation to local deformable paradigms using various metrics and multi-resolution approaches. The aim of this study is to assess the suitability of these methods for mammographic image analysis. Evaluation using temporal cases based on quantitative analysis gives an indication of the accuracy and robustness of the different algorithms. This work shows that local deformable paradigms (B-spline deformations) obtain the most accurate registration results.",

keywords = "Algorithm evaluation, Image registration, Mammographic image analysis",

author = "Yago D{\'i}ez and Arnau Oliver and Xavier Llad{\'o}ez and Robert Mart{\'i}ez",

year = "2010",

month = dec,

day = "1",

doi = "10.1109/ICIP.2010.5653325",

language = "English",

isbn = "9781424479948",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "4421--4424",

booktitle = "2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings",

note = "2010 17th IEEE International Conference on Image Processing, ICIP 2010 ; Conference date: 26-09-2010 Through 29-09-2010",

}

TY - GEN

T1 - Comparison of registration methods using mamographic images

AU - Díez, Yago

AU - Oliver, Arnau

AU - Lladóez, Xavier

AU - Martíez, Robert

PY - 2010/12/1

Y1 - 2010/12/1

N2 - The detection of architectural distortions and abnormal structures in mammographic images can be based on the analysis of bilateral and temporal cases using image registration. This work presents a quantitative evaluation of eight state-of-the art image registration methods applied to mammographic images. These methods range from a global and rigid transformation to local deformable paradigms using various metrics and multi-resolution approaches. The aim of this study is to assess the suitability of these methods for mammographic image analysis. Evaluation using temporal cases based on quantitative analysis gives an indication of the accuracy and robustness of the different algorithms. This work shows that local deformable paradigms (B-spline deformations) obtain the most accurate registration results.

AB - The detection of architectural distortions and abnormal structures in mammographic images can be based on the analysis of bilateral and temporal cases using image registration. This work presents a quantitative evaluation of eight state-of-the art image registration methods applied to mammographic images. These methods range from a global and rigid transformation to local deformable paradigms using various metrics and multi-resolution approaches. The aim of this study is to assess the suitability of these methods for mammographic image analysis. Evaluation using temporal cases based on quantitative analysis gives an indication of the accuracy and robustness of the different algorithms. This work shows that local deformable paradigms (B-spline deformations) obtain the most accurate registration results.

KW - Algorithm evaluation

KW - Image registration

KW - Mammographic image analysis

UR - http://www.scopus.com/inward/record.url?scp=78651062868&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78651062868&partnerID=8YFLogxK

U2 - 10.1109/ICIP.2010.5653325

DO - 10.1109/ICIP.2010.5653325

M3 - Conference contribution

AN - SCOPUS:78651062868

SN - 9781424479948

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 4421

EP - 4424

BT - 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings

T2 - 2010 17th IEEE International Conference on Image Processing, ICIP 2010

Y2 - 26 September 2010 through 29 September 2010

ER -