Non-invasive arterial input function estimation using an MRA atlas and machine learning

Non-invasive arterial input function estimation using an MRA atlas and machine learning

Abstract Background Quantifying biological parameters of interest through dynamic positron emission tomography (PET) requires an arterial input function (AIF) conventionally obtained from arterial blood samples. The AIF can also be non-invasively estimated from blood pools in PET images, often ident...

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Bibliographic Details
Main Authors: Rajat Vashistha, Hamed Moradi, Amanda Hammond, Kieran O’Brien, Axel Rominger, Hasan Sari, Kuangyu Shi, Viktor Vegh, David Reutens
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:EJNMMI Research
Subjects:
PET
Dynamic scanning
Kinetic modelling
Arterial input function
Variational inference
Online Access:https://doi.org/10.1186/s13550-025-01253-3
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https://doi.org/10.1186/s13550-025-01253-3

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