Maximum Likelihood Estimation of Object Parameters in Ultrasound Reflective Computerized Tomography
The applications of reconstruction from projections are in a diversity of disciplines , especially in X-ray medical radiology. Recently , ultrasound tomography techniques have been developed rapidly in a number of new areas,such as nondestructive evaluation , geophysical tomography and seismic tomography. However,the situation often arises in these areas where the number of views,the angular coverage and the number of samples within a view are severely restricted,and even the available data are corrupted by noise due to physical,geometrical,or economic constraints in the data acquisition. Thus, it is hard to reliably produce an accurate, high-resolution imagery of the cross section under these conditions. When the projection measurements are limited in number of view angle , or have high noise levels,only the information that is related to the object location , size and shape , can be extracted within the cross section. Moreover , in a number of applications,only the object-related information about the cross section is required.
KeywordsExpense Convolution Nite Acoustics Estima
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