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

Autor: Ian R. Duffy PhD, Amanda J. Boyle PhD, Neil Vasdev PhD
Jazyk: angličtina
Rok vydání: 2019
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Zdroj: Molecular Imaging, Vol 18 (2019)
Druh dokumentu: article
ISSN: 1536-0121
15360121
DOI: 10.1177/1536012119869070
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: Directory of Open Access Journals
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