Emergent Mind
Deep Learning-Based Attenuation and Scatter Correction of Brain 18F-FDG PET Images in the Image Domain
(2206.14673)
Published Jun 29, 2022
in
physics.med-ph
and
eess.IV
Abstract
Attenuation and scatter correction (AC) is crucial for quantitative Positron Emission Tomography (PET) imaging. Recently, direct application of AC in the image domain using deep learning approaches has been proposed for the hybrid PET/MR and dedicated PET systems that lack accompanying transmission or anatomical imaging. This study set out to investigate deep learning-based AC in the image domain using different input settings.
We're not able to analyze this paper right now due to high demand.
Please check back later (sorry!).
Generate a summary of this paper on our Pro plan:
We ran into a problem analyzing this paper.