Intrapatient multimodal medical image registration of brain CT-MRI 3D: an approach based on metaheuristics

Pedro P. Cespedes; Gabriel A. Gimenez; Lorenzo Lopez; Jose L. Vazquez; Horacio Legal-Ayala; Diego Pinto-Roa

doi:10.1117/12.2506687

21 December 2018 Intrapatient multimodal medical image registration of brain CT-MRI 3D: an approach based on metaheuristics

Pedro P. Cespedes , Gabriel A. Gimenez, Lorenzo Lopez, Jose L. Vazquez , Horacio Legal-Ayala, Diego Pinto-Roa

Author Affiliations +

Proceedings Volume 10975, 14th International Symposium on Medical Information Processing and Analysis; 109750N (2018) https://doi.org/10.1117/12.2506687
Event: 14th International Symposium on Medical Information Processing and Analysis, 2018, Mazatlán, Mexico

Abstract

Medical Image Registration (MIR) is a challenge that arises in many image processing applications when multiple images must be aligned. We deal with the case of multi-modalities that is approached as an optimization problem. In MIR deterministic algorithms are used mainly, the disadvantage is that many of them get trapped in local optima, especially in multi-modal registration. This work aims to overcome this disadvantage using Scatter Search and Particle Swarm as optimization algorithms, with the mutual information approach proposed by Mattes et. al. The proposed optimizers were tested and contrasted with Reference Algorithms. A multi-modal rigid 3D / 3D of brain medical image registration scheme was implemented, and it was validated in RIRE project. The qualitative and quantitative validation of the results was satisfactory; the results demonstrated the accuracy and applicability of the proposed methods in comparison to conventional methods, as well as not being trapped in local optima.

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Pedro P. Cespedes , Gabriel A. Gimenez, Lorenzo Lopez, Jose L. Vazquez , Horacio Legal-Ayala, and Diego Pinto-Roa "Intrapatient multimodal medical image registration of brain CT-MRI 3D: an approach based on metaheuristics", Proc. SPIE 10975, 14th International Symposium on Medical Information Processing and Analysis, 109750N (21 December 2018); https://doi.org/10.1117/12.2506687

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