Likelihood-Based Hypothesis Tests for Brain Activation Detection From MRI Data Disturbed by Colored Noise: A Simulation Study

Functional magnetic resonance imaging (fMRI) data that are corrupted by temporally colored noise are generally preprocessed (i.e., prewhitened or precolored) prior to functional activation detection. In this paper, we propose likelihood-based hypothesis tests that account for colored noise directly within the framework of functional activation...

Robust estimation of the noise variance from background MR data

In the literature, many methods are available for estimation of the variance of the noise in magnetic resonance (MR) images. A commonly used method, based on the maximum of the background mode of the histogram, is revisited and a new, robust, and easy to use method is presented based on maximum likelihood (ML) estimation. Both methods are...

Fieldwork Coastal Engineering: Varna (Bulgaria)

Research has been carried out in St. Konstantin, Varna, Bulgaria. In the second chapter of this report an Analysis of the Tetra pods on breakwater of the “Sunny Day Marina is presented, where the damage is determined and different approaches are used and compared to determine the significant wave height. In the third chapter the beach...