Constrained least squares filtering in high resolution PET and SPECT imaging

Author

Hutchins, Gary D. ; Rogers, W. Leslie ; Chiao, Ping ; Raylman, Raymond R. ; Murphy, Brian W.

Author_Institution

Div. of Nucl. Med., Michigan Univ., Ann Arbor, MI, USA

Volume

37

Issue

2

fYear

1990

fDate

4/1/1990 12:00:00 AM

Firstpage

647

Lastpage

651

Abstract

Constrained least-squares filtering is a technique which employs a priori tomograph response information for the filtering of projection data prior to the filtered backprojection of radionuclide distribution images. A simulation study in which the performance of this algorithm was evaluated as a function of the sampling density within each projection of the radon transform is described. The results of this evaluation demonstrate that the efficient application of this algorithm requires higher sampling densities than are typically employed in high-resolution PET (positron emission tomography) and SPECT (single-photon-emission computed tomography). Therefore, application of this algorithm requires software and/or hardware modification of the data acquisition schemes employed in tomographic systems

Keywords

computerised tomography; data acquisition; least squares approximations; radioisotope scanning and imaging; SPECT imaging; backprojection; data acquisition; hardware modification; high resolution PET; least squares filtering; positron emission tomography; radionuclide distribution images; radon transform; simulation study; single-photon-emission computed tomography; software; tomograph response information; Application software; Computed tomography; Data acquisition; Hardware; Image sampling; Information filtering; Information filters; Least squares methods; Positron emission tomography; Software algorithms;

fLanguage

English

Journal_Title

Nuclear Science, IEEE Transactions on

Publisher

ieee

ISSN

0018-9499

Type

jour

DOI

10.1109/23.106692

Filename

106692