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3D PET image reconstruction based on the maximum likelihood estimation method (MLEM) algorithm

3D PET image reconstruction based on the maximum likelihood estimation method (MLEM) algorithm

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1703953274

3D PET image reconstruction based on the maximum likelihood estimation method (MLEM) algorithm

About this item

Full title

3D PET image reconstruction based on the maximum likelihood estimation method (MLEM) algorithm

Publisher

Berlin: Walter de Gruyter GmbH

Journal title

Bio-algorithms and med-systems, 2014-03, Vol.10 (1), p.1-7

Language

English

Formats

Publication information

Publisher

Berlin: Walter de Gruyter GmbH

More information

Scope and Contents

Contents

A positron emission tomography (PET) scan does not measure an image directly. Instead, a PET scan measures a sinogram at the boundary of the field-of-view that consists of measurements of the sums of all the counts along the lines connecting the two detectors. Because there is a multitude of detectors built in a typical PET structure, there are man...

Alternative Titles

Full title

3D PET image reconstruction based on the maximum likelihood estimation method (MLEM) algorithm

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_1703953274

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1703953274

Other Identifiers

ISSN

1895-9091

E-ISSN

1896-530X

DOI

10.1515/bams-2013-0106

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