Synthetic Attenuation Correction Maps for SPECT Imaging Using Deep Learning: A Study on Myocardial Perfusion Imaging

Synthetic Attenuation Correction Maps for SPECT Imaging Using Deep Learning: A Study on Myocardial Perfusion Imaging

(1) Background: The CT-based attenuation correction of SPECT images is essential for obtaining accurate quantitative images in cardiovascular imaging. However, there are still many SPECT cameras without associated CT scanners throughout the world, especially in developing countries. Performing addit...

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Bibliographic Details
Main Authors: Mariana Andrea Prieto Canalejo, Aley Palau San Pedro, Ricardo Geronazzo, Daniel Mauricio Minsky, Luis Eduardo Juárez-Orozco, Mauro Namías
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Diagnostics
Subjects:
attenuation correction
deep learning
cardiac imaging
SPECT imaging
Online Access:https://www.mdpi.com/2075-4418/13/13/2214

Internet

https://www.mdpi.com/2075-4418/13/13/2214

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