Improving PET Imaging Acquisition and Analysis With Machine Learning: A Narrative Review With Focus on Alzheimer's Disease and Oncology

Autor: Neil Vasdev, Ian R. Duffy, Amanda J. Boyle
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Oncology
Decision support system
medicine.medical_specialty
lcsh:Medical technology
Artificial Intelligence in Molecular Imaging Clinics
Computer science
cancer detection imaging
Personalized treatment
Biomedical Engineering
Disease
Review Article
Machine learning
computer.software_genre
030218 nuclear medicine & medical imaging
cancer imaging
Machine Learning
03 medical and health sciences
0302 clinical medicine
Alzheimer Disease
Internal medicine
Neoplasms
Medical imaging
medicine
Image acquisition
Animals
Humans
Radiology
Nuclear Medicine and imaging
lcsh:QH301-705.5
medicine.diagnostic_test
business.industry
Pet imaging
Condensed Matter Physics
Alzheimer's
3. Good health
Molecular Imaging
molecular imaging of neurodegenerative diseases
PET
lcsh:Biology (General)
lcsh:R855-855.5
Positron emission tomography
030220 oncology & carcinogenesis
Positron-Emission Tomography
Molecular Medicine
Narrative review
Artificial intelligence
business
computer
Biotechnology
Zdroj: Molecular Imaging
Molecular Imaging, Vol 18 (2019)
ISSN: 1536-0121
1535-3508
Popis: Machine learning (ML) algorithms have found increasing utility in the medical imaging field and numerous applications in the analysis of digital biomarkers within positron emission tomography (PET) imaging have emerged. Interest in the use of artificial intelligence in PET imaging for the study of neurodegenerative diseases and oncology stems from the potential for such techniques to streamline decision support for physicians providing early and accurate diagnosis and allowing personalized treatment regimens. In this review, the use of ML to improve PET image acquisition and reconstruction is presented, along with an overview of its applications in the analysis of PET images for the study of Alzheimer's disease and oncology.
Databáze: OpenAIRE
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