Combining deep learning with a kinetic model to predict dynamic PET images and generate parametric images.

Authors:
Liang G; Zhou J; Chen Z; Wan L; Wumener X and 4 more

Journal:
EJNMMI Phys

Publication Year: 2023

DOI:
10.1186/s40658-023-00579-y

PMCID:
PMC10597982

PMID:
37874426

View on PubMed View on PMC View Publisher
Journal Information

Full Title: EJNMMI Phys

Abbreviation: EJNMMI Phys

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Radiology, Nuclear Medicine & Medical Imaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Related Papers from Same Journal
3D printed non-uniform anthropomorphic phantoms for quantitative SPECT.
Jessen L; Gustafsson J; Ljungberg M and 3 more (2024) - Transparency Score: 3/6
Biodistribution and radiation dosimetry of <sup>124</sup>I-mIBG in adult patients with neural crest…
Moraitis A; Jentzen W; Reiter G and 8 more (2024) - Transparency Score: 3/6
Clinical feasibility study of early 30-minute dynamic FDG-PET scanning protocol for patients with l…
Du F; Wumener X; Zhang Y and 10 more (2024) - Transparency Score: 3/6
Feasibility of <sup>177</sup>Lu activity quantification using a small portable CZT-based gamma-came…
Roth D; Larsson E; Strand J and 2 more (2024) - Transparency Score: 3/6
Feasibility study of a SiPM-fiber detector for non-invasive measurement of arterial input function …
de Scals S; Fraile LM; Udías JM and 6 more (2024) - Transparency Score: 3/6
View All Papers from This Journal
Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Declarations Ethics approval and consent to participateNot applicable. Consent for publicationNot applicable. Competing interestsNot applicable. Competing interests Not applicable."

Evidence found in paper:

"Funding This work was supported by the National Natural Science Foundation of China (32022042) and the Shenzhen Excellent Technological Innovation Talent Training Project of China (RCJC20200714114436080)."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025