Conference item icon

Conference item

Deep learning–based time-of-flight (ToF) image enhancement of non-ToF PET scans

Abstract:

Purpose

To improve the quantitative accuracy and diagnostic confidence of PET images reconstructed without time-of-flight (ToF) using deep learning models trained for ToF image enhancement (DL-ToF).

Methods

A total of 273 [18F]-FDG PET scans were used, including data from 6 centres equipped with GE Discovery MI ToF scanners. PET data were reconstructed using the block-sequential-regularise...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1007/s00259-022-05824-7

Authors


Expand authors...
Publisher:
Springer Publisher's website
Journal:
European Journal of Nuclear Medicine and Molecular Imaging Journal website
Volume:
48
Issue:
S1
Pages:
S325-S326
Publication date:
2022-05-04
Acceptance date:
2022-04-26
DOI:
EISSN:
1619-7089
ISSN:
1619-7070
Language:
English
Keywords:
Pubs id:
1232058
Local pid:
pubs:1232058
Deposit date:
2022-05-06

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP