Title:
Object localization in the presence of a strong heterogeneous background in fluorescent tomography
Object localization in the presence of a strong heterogeneous background in fluorescent tomography
Files
Authors
Mohajerani, Pouyan
Eftekhar, Ali Asghar
Adibi, Ali
Eftekhar, Ali Asghar
Adibi, Ali
Authors
Person
Advisors
Advisors
Associated Organizations
Organizational Unit
Series
Collections
Supplementary to
Permanent Link
Abstract
We propose a method for object localization in fluorescent tomography (FT) in the presence of a highly heterogeneous background. Existing approaches typically assume a homogeneous background distribution; thus, they are incapable of accurately accounting for the more general case of an unconstrained, possibly heterogeneous, background. The proposed method iteratively solves the inverse problem over a solution space partitioned into a background subspace and an object subspace to simultaneously estimate the background and localize the target fluorescent objects. Simulation results of this algorithm applied to continuous-wave FT demonstrate effective localization of target objects in the presence of highly heterogeneous background distributions.
Sponsor
Date Issued
2008-06
Extent
Resource Type
Text
Resource Subtype
Article