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Artificial Intelligence in PET: An Industry Perspective

Authors :
Arkadiusz, Sitek
Sangtae, Ahn
Evren, Asma
Adam, Chandler
Alvin, Ihsani
Sven, Prevrhal
Arman, Rahmim
Babak, Saboury
Kris, Thielemans
Source :
PET clinics. 16(4)
Publication Year :
2021

Abstract

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.

Details

ISSN :
18799809
Volume :
16
Issue :
4
Database :
OpenAIRE
Journal :
PET clinics
Accession number :
edsair.pmid..........051b81af9c4f9e70a983c5c442410f61