Assessing robustness of network-based correlation analysis with preclinical total-body PET data

Abigail F. Hellman; Paul S. Clegg; Adriana A S Tavares

doi:10.3389/978-2-8325-1231-9

Abstract

While traditional PET is limited to a small axial field-of-view (FOV) and produces images with low resolution that require long scan times and a significant radiation dose delivered to the patient, total-body PET takes advantage of an extended FOV that covers the entire body. Extending the
coverage of the PET scanner increases the image resolution, which can allow for either quicker or reduced-dose scanning. An important research benefit is that it provides a scan that shows how the entire body is responding physiologically to a radiotracer at one time. This is advantageous for studying systems biology, a rapidly growing field involving the study of complex
interactions between tissues, organs, and organ systems within the body.

Original language	English
Pages	127-131
DOIs	https://doi.org/10.3389/978-2-8325-1231-9
Publication status	Published - 19 Jul 2023
Event	27th Conference on Medical Image Understanding and Analysis 2023 - Suttie Centre for Teaching and Learning in Healthcare, Aberdeen, United Kingdom Duration: 19 Jul 2023 → 21 Jul 2023

Conference

Conference	27th Conference on Medical Image Understanding and Analysis 2023
Country/Territory	United Kingdom
City	Aberdeen
Period	19/07/23 → 21/07/23

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10.3389/978-2-8325-1231-9

Cite this

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title = "Assessing robustness of network-based correlation analysis with preclinical total-body PET data",

abstract = "While traditional PET is limited to a small axial field-of-view (FOV) and produces images with low resolution that require long scan times and a significant radiation dose delivered to the patient, total-body PET takes advantage of an extended FOV that covers the entire body. Extending the coverage of the PET scanner increases the image resolution, which can allow for either quicker or reduced-dose scanning. An important research benefit is that it provides a scan that shows how the entire body is responding physiologically to a radiotracer at one time. This is advantageous for studying systems biology, a rapidly growing field involving the study of complex interactions between tissues, organs, and organ systems within the body. ",

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AU - Hellman, Abigail F.

AU - Clegg, Paul S.

AU - Tavares, Adriana A S

PY - 2023/7/19

Y1 - 2023/7/19

N2 - While traditional PET is limited to a small axial field-of-view (FOV) and produces images with low resolution that require long scan times and a significant radiation dose delivered to the patient, total-body PET takes advantage of an extended FOV that covers the entire body. Extending the coverage of the PET scanner increases the image resolution, which can allow for either quicker or reduced-dose scanning. An important research benefit is that it provides a scan that shows how the entire body is responding physiologically to a radiotracer at one time. This is advantageous for studying systems biology, a rapidly growing field involving the study of complex interactions between tissues, organs, and organ systems within the body.

AB - While traditional PET is limited to a small axial field-of-view (FOV) and produces images with low resolution that require long scan times and a significant radiation dose delivered to the patient, total-body PET takes advantage of an extended FOV that covers the entire body. Extending the coverage of the PET scanner increases the image resolution, which can allow for either quicker or reduced-dose scanning. An important research benefit is that it provides a scan that shows how the entire body is responding physiologically to a radiotracer at one time. This is advantageous for studying systems biology, a rapidly growing field involving the study of complex interactions between tissues, organs, and organ systems within the body.

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T2 - 27th Conference on Medical Image Understanding and Analysis 2023

Y2 - 19 July 2023 through 21 July 2023

ER -

Assessing robustness of network-based correlation analysis with preclinical total-body PET data

Abstract

Conference

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