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Proceedings Paper

Local image registration a comparison for bilateral registration mammography
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Paper Abstract

Early tumor detection is key in reducing the number of breast cancer death and screening mammography is one of the most widely available and reliable method for early detection. However, it is difficult for the radiologist to process with the same attention each case, due the large amount of images to be read. Computer aided detection (CADe) systems improve tumor detection rate; but the current efficiency of these systems is not yet adequate and the correct interpretation of CADe outputs requires expert human intervention. Computer aided diagnosis systems (CADx) are being designed to improve cancer diagnosis accuracy, but they have not been efficiently applied in breast cancer. CADx efficiency can be enhanced by considering the natural mirror symmetry between the right and left breast. The objective of this work is to evaluate co-registration algorithms for the accurate alignment of the left to right breast for CADx enhancement. A set of mammograms were artificially altered to create a ground truth set to evaluate the registration efficiency of DEMONs , and SPLINE deformable registration algorithms. The registration accuracy was evaluated using mean square errors, mutual information and correlation. The results on the 132 images proved that the SPLINE deformable registration over-perform the DEMONS on mammography images.

Paper Details

Date Published: 19 November 2013
PDF: 9 pages
Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 892210 (19 November 2013); doi: 10.1117/12.2035516
Show Author Affiliations
José M. Celaya-Padilaa, ITESM (Mexico)
Juan Rodriguez-Rojas, ITESM (Mexico)
Victor Trevino, ITESM (Mexico)
José G. Tamez-Pena, ITESM (Mexico)


Published in SPIE Proceedings Vol. 8922:
IX International Seminar on Medical Information Processing and Analysis
Jorge Brieva; Boris Escalante-Ramírez, Editor(s)

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