Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting

Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting

Aim: Positron emission tomography (PET) imaging is a useful tool for assisting in correct differentiation of tumor progression from reactive changes. O-(2-18F-fluoroethyl)-L-tyrosine (FET)-PET in combination with MRI can add valuable information for clinical decision making. Acquiring FET-PET/MRI si...

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Bibliographic Details
Main Authors: Claes Nøhr Ladefoged, Lisbeth Marner, Amalie Hindsholm, Ian Law, Liselotte Højgaard, Flemming Littrup Andersen
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-01-01
Series:Frontiers in Neuroscience
Subjects:
pediatric
deep learning
PET/MRI
attenuation correction
brain tumors
bone density
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.01005/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2018.01005/full

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