TY - GEN
T1 - Comparison of registration methods using mamographic images
AU - Díez, Yago
AU - Oliver, Arnau
AU - Lladóez, Xavier
AU - Martíez, Robert
PY - 2010
Y1 - 2010
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 -