Title :
Multispectral Limited-Angle Image Reconstruction
Author_Institution :
General Electric Company Corporate Research and Development Schenectady, New York 12345
Abstract :
Limited-angle reconstruction algorithms utilize a priori information on the objects to compensate for the missing scannings in limited-angle imagings. In earlier papers we have shown qualitatively that decomposing a composite object through multiple energy scans enables better use of the a priori information and therefore is capable of bringing about improvement in limited-angle reconstructions. In this paper a more quantitative analysis is performed to study the conditions for such a improvement and its magnitude. In particular, it is shown that this technique favors reconstruction for the hot spot type of phantoms much more than the cold spot type.
Keywords :
Image generation; Image reconstruction; Imaging phantoms; Linearity; Multispectral imaging; Performance analysis; Reconstruction algorithms; Research and development; Scanning electron microscopy; Upper bound;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.1983.4332358