A motion correction system for brain tomography based on biologically motivated models

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Abstract

A motion correction system for brain tomography is presented, which employs two calibrated video cameras and three vision models (CIECAM'97, RETINA, and BMV). The system is evaluated on the pictures monitoring a subject's head while simulating PET scanning (n=12) and on the face images of subjects with different skin colours (n=31). The results on 2D images with known moving parameters show that motion parameters of rotation and translation along X, Y, and Z directions can be obtained very accurately via the method of facial landmark detection. A feasibility study of the developed algorithms is evaluated by a computer simulation of brain scanning procedures.

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Anishenko, S., Osinov, V., Shaposhnikov, D., Podladchikova, L., Comley, R., Sukholentsev, K., & Gao, X. W. (2008). A motion correction system for brain tomography based on biologically motivated models. In 2008 7th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2008. https://doi.org/10.1109/UKRICIS.2008.4798949

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