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...

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Bibliographic Details
Published in2009 International Conference on Advances in Recent Technologies in Communication and Computing pp. 129 - 132
Main Authors Sastry, C.S., Mishra, A.K., Singh, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Biomedical equipment
Communications technology
Computed tomography
Computerized Tomography
Edge Detection
Filtering
Fourier transforms
Frequency
Image edge detection
Image reconstruction
Medical services
Neoplasms
Projection Data
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Summary: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.
ISBN:9781424451043
1424451043
DOI:10.1109/ARTCom.2009.183