Abstract
The detection of architectural distortions and abnormal structures in mammographic images can be based on the analysis of bilateral and temporal cases. This paper presents a novel method for mammographic image registration inspired by existing robust point matching approaches. This novel method is compared with other registration approaches proposed in the literature using both quantitative and qualitative evaluation based on similarity metrics and ROC analysis (ground truth provided by an expert radiologist). Initial evaluation is based on mammographic data of 64 women with malignant masses which indicates the accuracy and robustness of our method.
Research partiallly supported by the Juan de la Cierva Programme and research grant no. TIN2005-08792-C03-01
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Sallam, M., Bowyer, K.: Registration and difference analysis of corresponding mammogram images. Medical Image Analysis 3(2), 103–118 (1999)
Karssemeijer, N., Brake, G.T.: Combining single view features and asymmetry for detection of mass lesions. In: Karssemeijer, N., Thijssen, M., Hendriks, J., van Erning, L. (eds.) 4th International Workshop on Digital Mammography, pp. 95–102. Kluwer Academic Publishers, Dordrecht (1998)
van Engeland, S., Snoeren, P., Hendriks, J., Karssemeijer, N.: A comparison of methods for mammogram registration. IEEE Transactions on Medical Imaging 22(11), 1436–1444 (2003)
Marti, R., Zwiggelaar, R., Rubin, C.: Automatic point correspondence and registration based on linear structures. International Journal of Pattern Recognition and Artificial Intelligence 16(3), 331–340 (2002)
Marias, K., Behrenbruch, C.P., Parbhoo, S., Seifalian, A., Brady, M.: A registration framework for the comparison of mammogram sequences. IEEE Transactions on Medical Imaging 24(6), 782–790 (2005)
Besl, P.J., McKay, N.D.: A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 14(2), 239–256 (1992)
Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(4), 509–522 (2002)
Chui, H., Rangarajan, A.: A new point matching algorithm for non-rigid registration. Computer Vision and Image Understanding 89(2-3), 114–141 (2003)
Rohr, K., Stiehl, H.S., Sprengel, R., Buzug, T.M., Weese, J., Kuhn, M.H.: Landmark-based elastic registration using approximating thin-plate splines. IEEE Transactions on Medical Imaging 20(6), 526–534 (2001)
Heath, M., Bowyer, K., Kopans, D., Moore, R., Kegelmeyer, P.: The digital database for screening mammography. In: International Workshop on Digital Mammography (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
MartÃ, R., Raba, D., Oliver, A., Zwiggelaar, R. (2006). Mammographic Registration: Proposal and Evaluation of a New Approach. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_30
Download citation
DOI: https://doi.org/10.1007/11783237_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35625-7
Online ISBN: 978-3-540-35627-1
eBook Packages: Computer ScienceComputer Science (R0)