Brain PET and Cerebrovascular Disease

Katarina Chiam; Louis Lee; Phillip H Kuo; Vincent C Gaudet; Sandra E Black; Katherine A Zukotynski

doi:10.1016/j.cpet.2022.09.007

Brain PET and Cerebrovascular Disease

PET Clin. 2023 Jan;18(1):115-122. doi: 10.1016/j.cpet.2022.09.007. Epub 2022 Oct 28.

Authors

Katarina Chiam¹, Louis Lee², Phillip H Kuo³, Vincent C Gaudet², Sandra E Black⁴, Katherine A Zukotynski⁵

Affiliations

¹ Division of Engineering Science, University of Toronto, 40 St. George St., Toronto, ON M5S 2E4, Canada.
² Department of Electrical and Computer Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada.
³ Departments of Medical Imaging, Medicine, Biomedical Engineering, University of Arizona, 1501 N. Campbell, Tucson, AZ 85724, USA.
⁴ Departments of Neurology, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada; Departments of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada.
⁵ Departments of Medicine and Radiology, McMaster University, 1200 Main Street West, Hamilton, ON L9G 4X5, Canada. Electronic address: [email protected].

PMID: 36718716
DOI: 10.1016/j.cpet.2022.09.007

Abstract

Cerebrovascular disease encompasses a broad spectrum of diseases such as stroke, hemorrhage, and cognitive decline associated with vascular narrowing, obstruction, rupture, and inflammation, among other issues. Recent advances in hardware and software have led to improvements in brain PET. Although still in its infancy, machine learning using convolutional neural networks is gaining traction in this area, often with a focus on providing high-quality images with reduced noise using a shorter acquisition time or less radiation exposure for the patient.

Keywords: Artificial intelligence; Cerebrovascular disease; Cognitive impairment; PET.

Publication types

Review

MeSH terms

Brain / diagnostic imaging
Cerebrovascular Disorders* / diagnostic imaging
Humans
Neural Networks, Computer
Positron-Emission Tomography / methods
Stroke* / diagnostic imaging