João Manuel R. S. Tavares

Repositório Aberto da Universidade do Porto

1  Computational Registration of Biomedical Data Towards More Effective Image Analysis   João Manuel R. S. Tavares Instituto de Engenharia Mecânica e Gestão Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Portugal tavares@fe.up.pt, www.fe.up.pt/~tavares   Abstract  Data registration, i.e., the process of transforming a dataset so that the entities represented are properly adjusted to the homologous entities represented in a second dataset, has been a topic of huge research in various scientific fields. In Image Analysis, such transformation is frequently applied on static images, but also on image sequences, and is usually known as image registration. For example, in biomedicine, computational methods of data registration have been assuming an essential role in supporting enhanced image-based diagnosis, by addressing the fusion of information conveyed in images acquired by different techniques, the more effective follow-up of organs and pathologies, the definition of the best paths in computer-assisted surgery or in radiotherapy treatments, among others [1]. Hence, the computational registration of biomedical data has been a remarkable tool for clinicians and researchers since, after the truthful registration of the data involved, tasks such as image analysis, comparison of a given clinical case with previously studied ones, the automatic identification of regions of interest and information fusion, are facilitated and can be performed automatically and without subjectivity. Usually, associated with the topic of data registration one finds the topics of data matching, i.e. the searching for correspondences between two related data sets [2-6], and data interpolation, specially due to the application of the transformation found to one data set in the discrete domain [1]. During this presentation, the topic of biomedical data registration is going to be introduced, automatic computational methodologies to matching and registering static images and image sequences that we have been developed are going to be described, and application cases involving static images, image sequences and images acquired by different imaging modalities are going to be presented and discussed [2-13].  2  Keywords: Image Matching, Image Registration, Image Alignment, Spatio-Temporal Registration, Medical Imaging  Acknowledgments This work was partially done in the scope of the projects “Methodologies to Analyze Organs from Complex Medical Images – Applications to Female Pelvic Cavity” and “Cardiovascular Imaging Modeling and Simulation - SIMCARD”, with references PTDC/EEA-CRO/103320/2008 and UTAustin/CA/0047/2008, respectively, financially supported by Fundação para a Ciência e a Tecnologia (FCT) in Portugal.  References  [1] F.P.M. Oliveira, J.M.R.S. Tavares. Medical Image Registration: a Review. Computer Methods in Biomechanics and Biomedical Engineering, DOI:10.1080/10255842.2012.670855 (in press), 2012. [2] F.P.M. Oliveira, J.M.R.S. Tavares. Matching Contours in Images through the use of Curvature, Distance to Centroid and Global Optimization with Order-Preserving Constraint. Computer Modeling in Engineering & Sciences, 43(1):91-110, 2009. [3] F.P.M. Oliveira, J.M.R.S. Tavares. Algorithm of dynamic programming for optimization of the global matching between two contours defined by ordered points. Computer Modeling in Engineering & Sciences, 31(1):1-11, 2008. [4] J.M.R.S. Tavares, J. Barbosa, A.J. Padilha, Matching Image Objects in Dynamic Pedobarography. RecPad 2000 - 11th Portuguese Conference on Pattern Recognition, Porto, Portugal, 11-12 May 2000. [5] J.M.R.S. Tavares, L.F. Bastos. Improvement of modal matching image objects in dynamic pedobarography using optimization techniques, Progress in Computer Vision and Image Analysis, 73, World Scientific, pp. 339-368, 2010. [6] L.F. Bastos, J.M.R.S. Tavares. Matching of Objects Nodal Points Improvement using Optimization.  Inverse Problems in Science and Engineering, 14(5):529-541, 2006. [7] F.P.M. Oliveira, J.M.R.S. Tavares. Enhanced Spatio-Temporal Alignment of Plantar Pressure Image Sequences using B-splines. Medical & Biological Engineering & Computing, Springer, DOI: 10.1007/s11517-012-0988-3, 2012 (in press). [8] F.P.M. Oliveira, J.M.R.S. Tavares. Registration of Plantar Pressure Images. The International Journal for Numerical Methods in Biomedical Engineering, 28(6-7):589-603, 2012. [9] F.P.M. Oliveira, A. Sousa, R. Santos, J.M.R.S. Tavares. Towards an Efficient and Robust Foot Classification from Pedobarographic Images. Computer Methods in Biomechanics and Biomedical Engineering, 15(11):1181-1188, 2012. [10] F.P.M. Oliveira, A. Sousa, R. Santos, J.M.R.S. Tavares. Spatio-temporal Alignment of Pedobarographic Image Sequences. Medical & Biological Engineering & Computing, 49(7):843-850, 2011. [11] F.P.M. Oliveira, J.M.R.S. Tavares. Novel Framework for Registration of Pedobarographic Image Data, Medical & Biological Engineering & Computing, 49(3):313-323, 2011. [12] F.P.M. Oliveira, T.C. Pataky, J.M.R.S. Tavares. Registration of pedobarographic image data in the frequency domain. Computer Methods in Biomechanics and Biomedical Engineering, 13(6):731-740, 2010. [13] F.P.M. Oliveira, T.C. Pataky, J.M.R.S. Tavares. Rapid pedobarographic image registration based on contour curvature and optimization. Journal of Biomechanics, 42(15):2620-2623, 2009. 

Computational Registration of Biomedical Data Towards More Effective Image Analysis

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Repositório Aberto da Universidade do Porto