A Prominent Analysis on Head Phantom Image using Correlation Coefficient
نویسنده
چکیده
2D projections of the real 3D space are the only available information in the imaging technics like in XRay and MRI. In this paper we study projections of images as generated by Radon transformation. We implemented an image reconstruction algorithm which receives different projections of the original image as input. We performed this experiment using artificially created image in order to test and verify the algorithm. The quality of images reconstructed by an algorithm is most prominent to check. So in this paper, we performed analysis on head phantom MRI image by calculating correlation coefficient, Cutoff rotation angle for an image and linearity of correlation coefficient.
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تاریخ انتشار 2014