S. Kamal Setarehdan

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Intra Vascular UltraSound (IVUS) is a medical imaging technique, which is based on inserting an ultrasound catheter inside a vessel and producing real-time high-resolution images from the inner side of the vessel. In this paper, processing of fused IVUS frames in order to automatically detecting the coronary inner layers is provided. To reach this goal,(More)
In this paper, an effective algorithm for chromosome image processing for straightening the curved chromosomes is presented. This is a very helpful procedure which extends the domain of success of most of the previously reported algorithms to highly curved chromosomes. The procedure is based on the calculation and analyzing the vertical and horizontal(More)
Biometrics is the technique of uniquely recognizing a person among a group of people. It is usually performed based on one or more of humanpsilas intrinsic physical or behavioral traits. One such trait is the electroencephalogram (EEG) signal. In this paper, the feasibility of visual evoked potential (VEP) in the gamma band of EEG signal, as a physiological(More)
Brain-Computer interfacing systems require online processing of electroencephalogram (EEG) signals. Therefore, high speed signal processing is of great importance in BCI systems. In this study, we suggest and calculate a time pattern for information variations within the EEG signal recorded during mental tasks. Therefore, it is possible to limit the length(More)
In ultrasound elastography, the strains in the axial direction are usually calculated by applying gradient operator on the estimated axial displacements. Unfortunately, the direct gradient operation also amplifies the noises. In this paper a novel smoothing-spline based strain estimation (SSSE) method for estimating the distribution of the soft tissue axial(More)
An automatic method for estimating the location of the left ventricular centre point (LVCP) in short axis (SA) and long axis (LA) two-dimensional echocardiographic images is described. The system uses descriptive features of the LVCP in the extraction process. The three main steps of the method are image preprocessing, knowledge based candidate pixels(More)
Atherosclerosis is a leading cause of most cardiovascular diseases. Current intravascular ultrasound (IVUS) image processing techniques do not allow adequate and effective identification of the coronary artery plaques. This can be improved by defining more discriminative features for each kind of artery plaques. In this paper, the effectiveness of a(More)
This paper proposes the use of a polynomial interpolator structure (based on Horner's scheme) which is efficiently realizable in hardware, for high-quality geometric transformation of two- and three-dimensional images. Polynomial-based interpolators such as cubic B-splines and optimal interpolators of shortest support are shown to be exactly implementable(More)
According to the literature, many psychiatric phenotypes, brain disorders and/or mental tasks can be detected by analyzing EEG signals. One such a psychiatric phenotype is alcoholism. In this paper the parameters of second order autoregressive model, peak amplitude of the power spectrum, mean of absolute value and the variance of the signal are extracted as(More)
A user of Brain Computer Interface (BCI) system must be able to control external computer devices with brain activity. Although the proof-of-concept was given decades ago, the reliable translation of user intent into device control commands is still a major challenge. There are problems associated with classification of different BCI tasks. In this paper we(More)