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Intra-operative ultrasound as an imaging based method has been recognized as an effective solution to compensate non rigid brain shift problem in recent years. Measuring brain shift requires registration of the pre-operative MRI images with the intra-operative ultrasound images which is a challenging task. In this study a novel hybrid method based on the matching echogenic structures such as sulci...
In the paper, a novel k-subspaces based tensor factorization method is developed to tackle the underdetermined blind source separation (UBSS) and specially underdetermined blind identification (UBI) problems where k sources are active in each signal segment. This approach improves the general upper bound for maximum possible number of sources both in UBI and UBSS problems. The method is applied to...
In this paper a new method based on Rao-blackwellised particle filtering for tracking variability of event related-potential (ERP) subcomponents in different trials is presented. The latency, amplitude, and width of each subcomponent is formulated in the state space model. Then, the observation is modeled as a linear function of amplitude and a nonlinear function of latency and width. The Rao-blackwellised...
In this paper a novel algorithm for blind source extraction of quasi-periodic signals is developed. It is assumed that the cycle frequencies of the sources are known a priori. Necessary and sufficient conditions are introduced and Jacobi method for diagonalization of complex matrices is used to find the solution. A warping method is also introduced to adjust the cycle frequencies in the signals with...
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