Detection of Edges in CT Images Directly from Projection Data

In medical applications, detection and outlining of boundaries of organs and tumors are standard requirements, and hence the problem of detection of edges in images is one of important problems in computerized tomography (CT). The process reconstruction of images from projections first and then the detection of edges from the images so reconstructed is computationally expensive. Thus the detection of images directly from projection data is an important issue. In the present work, we firstly review some of the existing methods addressing the stated problem. We then propose a wavelet filtering approach. We justify that the wavelet filtering approach is capable of being used for the detection of local edges from localized projections. The paper demonstrates the usefulness of the approach through simulation work.