| Literature DB >> 18784036 |
Ronald R Coifman1, Yoel Shkolnisky, Fred J Sigworth, Amit Singer.
Abstract
We introduce a graph Laplacian-based algorithm for the tomographic reconstruction of a planar object from its projections taken at random unknown directions. A Laplace-type operator is constructed on the data set of projections, and the eigenvectors of this operator reveal the projection orientations. The algorithm is shown to successfully reconstruct the Shepp-Logan phantom from its noisy projections. Such a reconstruction algorithm is desirable for the structuring of certain biological proteins using cryo-electron microscopy.Mesh:
Year: 2008 PMID: 18784036 DOI: 10.1109/TIP.2008.2002305
Source DB: PubMed Journal: IEEE Trans Image Process ISSN: 1057-7149 Impact factor: 10.856