Artificial Intelligence in PET: An Industry Perspective.


Journal

PET clinics
ISSN: 1879-9809
Titre abrégé: PET Clin
Pays: United States
ID NLM: 101260152

Informations de publication

Date de publication:
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

483-492

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Arkadiusz Sitek (A)

Sano Centre for Computational Medicine, Nawojki 11 Street, Kraków 30-072, Poland. Electronic address: a.sitek@sanoscience.org.

Sangtae Ahn (S)

GE Research, 1 Research Circle KWC-1310C, Niskayuna, NY 12309, USA.

Evren Asma (E)

Canon Medical Research, 706 N Deerpath Drive, Vernon Hills, IL 60061, USA.

Adam Chandler (A)

Global Scientific Collaborations Group, United Imaging Healthcare, America, 9230 Kirby Drive, Houston, TX 77054, USA.

Alvin Ihsani (A)

NVIDIA, 2 Technology Park Drive, Westford, MA 01886, USA.

Sven Prevrhal (S)

Philips Research Europe, Röntgenstr. 22, Hamburg 22335, Germany.

Arman Rahmim (A)

Department of Radiology, University of British Columbia, BC Cancer, BC Cancer Research Institute, 675 West 10th Avenue, Office 6-112, Vancouver, British Columbia V5Z 1L3, Canada; Department of Physics, University of British Columbia, BC Cancer, BC Cancer Research Institute, 675 West 10th Avenue, Office 6-112, Vancouver, British Columbia V5Z 1L3, Canada.

Babak Saboury (B)

Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA; Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA; Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.

Kris Thielemans (K)

Institute of Nuclear Medicine, University College London, UCL Hospital Tower 5, 235 Euston Road, London NW1 2BU, UK; Algorithms and Software Consulting Ltd, 10 Laneway, London SW15 5HX, UK.

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Classifications MeSH