Artificial Intelligence in Vascular-PET:: Translational and Clinical Applications

Sriram S Paravastu; Elizabeth H Theng; Michael A Morris; Peter Grayson; Michael T Collins; Roberto Maass-Moreno; Reza Piri; Oke Gerke; Abass Alavi; Poul Flemming Høilund-Carlsen; Lars Edenbrandt; Babak Saboury

doi:10.1016/j.cpet.2021.09.003

Artificial Intelligence in Vascular-PET: Translational and Clinical Applications

Sriram S Paravastu, Elizabeth H Theng, Michael A Morris, Peter Grayson, Michael T Collins, Roberto Maass-Moreno, Reza Piri, Oke Gerke, Abass Alavi, Poul Flemming Høilund-Carlsen, Lars Edenbrandt, Babak Saboury

KI, OUH, Forskningsenhed for Klinisk fysiologi og nuklearmedicin (Odense)

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Abstrakt

Positron emission tomography (PET) offers an incredible wealth of diverse research applications in vascular disease, providing a depth of molecular, functional, structural, and spatial information. Despite this, vascular PET imaging has not yet assumed the same clinical use as vascular ultrasound, CT, and MR imaging which provides information about late-onset, structural tissue changes. The current clinical utility of PET relies heavily on visual inspection and suboptimal parameters such as SUVmax; emerging applications have begun to harness the tool of whole-body PET to better understand the disease. Even still, without automation, this is a time-consuming and variable process. This review summarizes PET applications in vascular disorders, highlights emerging AI methods, and discusses the unlocked potential of AI in the clinical space.

Originalsprog	Engelsk
Tidsskrift	PET Clinics
Vol/bind	17
Udgave nummer	1
Sider (fra-til)	95-113
ISSN	1556-8598
DOI	https://doi.org/10.1016/j.cpet.2021.09.003
Status	Udgivet - jan. 2022

Bibliografisk note

Dokumenter og links

10.1016/j.cpet.2021.09.003

Dokument under embargo

Open Access Version
Accepteret manuskript, 989 KB
Licens: CC BY-NC-ND
Embargo slutter: 19/11/2022

Citationsformater

Paravastu, Sriram S ; Theng, Elizabeth H ; Morris, Michael A ; Grayson, Peter ; Collins, Michael T ; Maass-Moreno, Roberto ; Piri, Reza ; Gerke, Oke ; Alavi, Abass ; Flemming Høilund-Carlsen, Poul ; Edenbrandt, Lars ; Saboury, Babak. / Artificial Intelligence in Vascular-PET: Translational and Clinical Applications. I: PET Clinics. 2022 ; Bind 17, Nr. 1. s. 95-113.

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title = "Artificial Intelligence in Vascular-PET:: Translational and Clinical Applications",

abstract = "Positron emission tomography (PET) offers an incredible wealth of diverse research applications in vascular disease, providing a depth of molecular, functional, structural, and spatial information. Despite this, vascular PET imaging has not yet assumed the same clinical use as vascular ultrasound, CT, and MR imaging which provides information about late-onset, structural tissue changes. The current clinical utility of PET relies heavily on visual inspection and suboptimal parameters such as SUVmax; emerging applications have begun to harness the tool of whole-body PET to better understand the disease. Even still, without automation, this is a time-consuming and variable process. This review summarizes PET applications in vascular disorders, highlights emerging AI methods, and discusses the unlocked potential of AI in the clinical space.",

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author = "Paravastu, {Sriram S} and Theng, {Elizabeth H} and Morris, {Michael A} and Peter Grayson and Collins, {Michael T} and Roberto Maass-Moreno and Reza Piri and Oke Gerke and Abass Alavi and {Flemming H{\o}ilund-Carlsen}, Poul and Lars Edenbrandt and Babak Saboury",

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doi = "10.1016/j.cpet.2021.09.003",

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Artificial Intelligence in Vascular-PET: Translational and Clinical Applications. / Paravastu, Sriram S; Theng, Elizabeth H; Morris, Michael A; Grayson, Peter; Collins, Michael T; Maass-Moreno, Roberto; Piri, Reza ; Gerke, Oke; Alavi, Abass; Flemming Høilund-Carlsen, Poul; Edenbrandt, Lars; Saboury, Babak.

I: PET Clinics, Bind 17, Nr. 1, 01.2022, s. 95-113.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

TY - JOUR

T1 - Artificial Intelligence in Vascular-PET:

T2 - Translational and Clinical Applications

AU - Paravastu, Sriram S

AU - Theng, Elizabeth H

AU - Morris, Michael A

AU - Grayson, Peter

AU - Collins, Michael T

AU - Maass-Moreno, Roberto

AU - Piri, Reza

AU - Gerke, Oke

AU - Alavi, Abass

AU - Flemming Høilund-Carlsen, Poul

AU - Edenbrandt, Lars

AU - Saboury, Babak

PY - 2022/1

Y1 - 2022/1

N2 - Positron emission tomography (PET) offers an incredible wealth of diverse research applications in vascular disease, providing a depth of molecular, functional, structural, and spatial information. Despite this, vascular PET imaging has not yet assumed the same clinical use as vascular ultrasound, CT, and MR imaging which provides information about late-onset, structural tissue changes. The current clinical utility of PET relies heavily on visual inspection and suboptimal parameters such as SUVmax; emerging applications have begun to harness the tool of whole-body PET to better understand the disease. Even still, without automation, this is a time-consuming and variable process. This review summarizes PET applications in vascular disorders, highlights emerging AI methods, and discusses the unlocked potential of AI in the clinical space.

AB - Positron emission tomography (PET) offers an incredible wealth of diverse research applications in vascular disease, providing a depth of molecular, functional, structural, and spatial information. Despite this, vascular PET imaging has not yet assumed the same clinical use as vascular ultrasound, CT, and MR imaging which provides information about late-onset, structural tissue changes. The current clinical utility of PET relies heavily on visual inspection and suboptimal parameters such as SUVmax; emerging applications have begun to harness the tool of whole-body PET to better understand the disease. Even still, without automation, this is a time-consuming and variable process. This review summarizes PET applications in vascular disorders, highlights emerging AI methods, and discusses the unlocked potential of AI in the clinical space.

KW - Artificial Intelligence

KW - Humans

KW - Magnetic Resonance Imaging

KW - Positron-Emission Tomography

U2 - 10.1016/j.cpet.2021.09.003

DO - 10.1016/j.cpet.2021.09.003

M3 - Journal article

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VL - 17

SP - 95

EP - 113

JO - P E T Clinics

JF - P E T Clinics

SN - 1556-8598

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