Introduction: Myocardial SPECT imaging is usually performed acquiring 32 views in 180 degree with equal steps of 5.625 degrees. Acquiring more images requires spending more time or injection of more activity to the patients. An idea to improve the quality reconstructed images without acquiring extra images is producing the extra images interpolating the data between adjacent PROJECTIONs. The aim of present study was investigation the feasibility of this idea.Methods: Obviously such investigation cannot be performed on real patient's data. Therefore, data were simulated using NCAT digital phantom and SimSET Monte Carlo code. The imaging was performed as usual, acquiring 32 views from right anterior oblique to left posterior oblique. The data were interpolated to construct 5 images between adjacent PROJECTIONs convert it into 187 PROJECTIONs. The simulation was performed again acquiring 187 images as the reference. The conventional, interpolated and reference data set were reconstructed and compared for improvement and degradation in quality of final images. The above procedure was repeated for phantoms representing different types of heart disease, different cardiac size and different count densities.Results: The results showed that Hermit INTERPOLATION technique produces better quality images comparing to other INTERPOLATION methods tested. Results also confirmed that streak artifacts decreases, signal to noise ratio and contrast increased due to increasing the number of samples.Conclusion: These results indicate that the physical properties of reconstructed images improve significantly.This directly must improve the lesions delectability of images. However the matter is still under investigation.

A Control Chart can be designed based on heuristic, statistical, economic or economic statistical assumptions. When a control chart such as multivariate cumulative sum (MCUSUM) control chart is employed to monitor a production process, three parameters should be determined; subgroup size, sampling frequency and the control limits. This paper provides an algorithm for economic-statistical designing the PPCUSUM control charts parameters based on simulation approach. Finally, example and sensivity analysis are presented.

Today, countries’ power PROJECTION, along with tangible and intangible elements of power, is considered as one of the indicators of national power which through them, a country fulfills its demands by using consequences of power elements. Depending on the amount of this power, the scope and the range of countries’ power PROJECTION differs from each other. Although, many international scholars pay attention to the U.S. and Russia’s elements of strength and power PROJECTION as the world's greatest military powers, however, the prospect of China’s continuous and increasing economic growth considers the country’s likely increase of power PROJECTION.Thus, by viewing the concept of power PROJECTION, in this article, we will examine its elements in relation with China and then, with a comparative look, we study China’s power PROJECTION at regional and international level.

In this paper we consider multivariate Lagrange mean-value INTERPOLATION problem, where INTERPOLATION parameters are integrals over spheres. We have concentric spheres. Indeed, we consider the problem in three variables when it is not correct.

Sometimes observations in statistical analysis are not independent and typically are correlated with their spatial locations. In spatial statistics there are some methods to interpolate this kind of data. In this paper some of interpolators for spatial data will be studied. Then they will be evaluated and compared by means of mean square errors criteria. Finally it will be shown that kriging acts better than other methods such as spline, inverse distance, for INTERPOLATION of spatial data.