Abstract
This paper describes an application of variational image registration. The method is based on an efficient implementation of the diffusion registration formulated in the frequency domain. The goal is to register anatomical and functional brain images of the same patient to facilitate the process of functional localization. This non-rigid image registration of different modalities makes possible to obtain a geometric correspondence which allows for localizing the functional processes that occur in the brain. In order to evaluate the performance of the proposed method, visual and numeric results of registration are shown. The quality of the registration results is measured by considering the peak signal to noise ratio (PSNR), the mutual information (MI) and the correlation ratio (CR).
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Legaz-Aparicio, ÁG., Verdú-Monedero, R., Larrey-Ruiz, J., López-Mir, F., Naranjo, V., Bernabéu, Á. (2015). Multimodal 3D Registration of Anatomic (MRI) and Functional (fMRI and PET) Intra-patient Images of the Brain. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo-Moreo, F., Adeli, H. (eds) Artificial Computation in Biology and Medicine. IWINAC 2015. Lecture Notes in Computer Science(), vol 9107. Springer, Cham. https://doi.org/10.1007/978-3-319-18914-7_36
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DOI: https://doi.org/10.1007/978-3-319-18914-7_36
Publisher Name: Springer, Cham
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