Artificial Intelligence in PET: An Industry Perspective.
AI
Ecosystem
Industry
List-mode
PET
Workflow
Journal
PET clinics
ISSN: 1879-9809
Titre abrégé: PET Clin
Pays: United States
ID NLM: 101260152
Informations de publication
Date de publication:
Oct 2021
Oct 2021
Historique:
pubmed:
7
8
2021
medline:
29
10
2021
entrez:
6
8
2021
Statut:
ppublish
Résumé
Artificial intelligence (AI) has significant potential to positively impact and advance medical imaging, including positron emission tomography (PET) imaging applications. AI has the ability to enhance and optimize all aspects of the PET imaging chain from patient scheduling, patient setup, protocoling, data acquisition, detector signal processing, reconstruction, image processing, and interpretation. AI poses industry-specific challenges which will need to be addressed and overcome to maximize the future potentials of AI in PET. This article provides an overview of these industry-specific challenges for the development, standardization, commercialization, and clinical adoption of AI and explores the potential enhancements to PET imaging brought on by AI in the near future. In particular, the combination of on-demand image reconstruction, AI, and custom-designed data-processing workflows may open new possibilities for innovation which would positively impact the industry and ultimately patients.
Identifiants
pubmed: 34353746
pii: S1556-8598(21)00045-6
doi: 10.1016/j.cpet.2021.06.006
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
483-492Informations de copyright
Copyright © 2021 Elsevier Inc. All rights reserved.