Towards a Whole Body [18F] FDG Positron Emission Tomography Attenuation Correction Map Synthesizing using Deep Neural Networks

The correction of attenuation effects in Positron Emission Tomography (PET) imaging is fundamental to obtain a correct radiotracer distribution. However direct measurement of this attenuation map is not error-free and normally results in additional ionization radiation dose to the patient. Here, we...

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Bibliographic Details

Published in:	Journal of Computer Science and Technology
Main Authors:	Ramiro Germán Rodríguez Colmeiro, Claudio Verrastro, Daniel Minsky, Thomas Grosges
Format:	Article
Language:	English
Published:	Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata 2021-04-01
Subjects:	attenuation correction deep learning generative models positron emission tomography
Online Access:	https://journal.info.unlp.edu.ar/JCST/article/view/1519