Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction.

Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction.

One of the main technical challenges of PET/MRI is to achieve an accurate PET attenuation correction (AC) estimation. In current systems, AC is accomplished by generating an MRI-based surrogate computed tomography (CT) from which AC-maps are derived. Nevertheless, all techniques currently implemente...

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Bibliographic Details
Main Authors: Paul Blanc-Durand, Maya Khalife, Brian Sgard, Sandeep Kaushik, Marine Soret, Amal Tiss, Georges El Fakhri, Marie-Odile Habert, Florian Wiesinger, Aurélie Kas
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0223141

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https://doi.org/10.1371/journal.pone.0223141

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