1 research outputs found
Efficient Variational Approach to Multimodal Registration of Anatomical and Functional Intra-Patient Tumorous Brain Data
This paper addresses the functional localization of intra-patient images of the brain. Functional images of the brain
(fMRI and PET) provide information about brain function and metabolism whereas anatomical images (MRI and
CT) supply the localization of structures with high spatial resolution. The goal is to find the geometric correspondence
between functional and anatomical images in order to complement and fuse the information provided by each imaging
modality. The proposed approach is based on a variational formulation of the image registration problem in the
frequency domain. It has been implemented as a C/C++ library which is invoked from a GUI. This interface is
routinely used in the clinical setting by physicians for research purposes (Inscanner, Alicante, Spain), and may be
used as well for diagnosis and surgical planning. The registration of anatomic and functional intra-patient images of
the brain makes it possible to obtain a geometric correspondence which allows for the localization of the functional
processes that occur in the brain. Through 18 clinical experiments, it has been demonstrated how the proposed
approach outperforms popular state-of-the-art registration methods in terms of efficiency, information theory-based
measures (such as mutual information) and actual registration error (distance in space of corresponding landmarks)Legaz-Aparicio, A.; Verdú-Monedero, R.; Larrey-Ruiz, J.; Morales-Sánchez, J.; López-Mir, F.; Naranjo Ornedo, V.; Bernabéu, Á. (2017). Efficient Variational Approach to Multimodal Registration of Anatomical and Functional Intra-Patient Tumorous Brain Data. International Journal of Neural Systems. 27(6):1750014-1-1750014-11. doi:10.1142/S0129065717500149S1750014-11750014-1127