Imitation learning for improved 3D PET/MR attenuation correction

Volume: 71, Pages: 102079 - 102079
Published: Jul 1, 2021
Abstract
The assessment of the quality of synthesised/pseudo Computed Tomography (pCT) images is commonly measured by an intensity-wise similarity between the ground truth CT and the pCT. However, when using the pCT as an attenuation map (μ-map) for PET reconstruction in Positron Emission Tomography Magnetic Resonance Imaging (PET/MRI) minimising the error between pCT and CT neglects the main objective of predicting a pCT that when used as μ-map...
Paper Details
Title
Imitation learning for improved 3D PET/MR attenuation correction
Published Date
Jul 1, 2021
Volume
71
Pages
102079 - 102079
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