Deep Kernel Representation for Image Reconstruction in PET.

Volume: PP
Published: May 18, 2022
Abstract
Image reconstruction for positron emission tomography (PET) is challenging because of the ill-conditioned tomographic problem and low counting statistics. Kernel methods address this challenge by using kernel representation to incorporate image prior information in the forward model of iterative PET image reconstruction. Existing kernel methods construct the kernels commonly using an empirical process, which may lead to unsatisfactory...
Paper Details
Title
Deep Kernel Representation for Image Reconstruction in PET.
Published Date
May 18, 2022
Volume
PP
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