Anatomically aided PET image reconstruction using deep neural networks
Abstract
The developments of PET/CT and PET/MR scanners provide opportunities for improving PET image quality by using anatomical information. In this paper, we propose a novel co-learning three-dimensional (3D) convolutional neural network (CNN) to extract modality-specific features from PET/CT image pairs and integrate complementary features into an iterative reconstruction framework to improve PET image reconstruction.We used a pretrained deep neural...
Paper Details
Title
Anatomically aided PET image reconstruction using deep neural networks
Published Date
Jul 28, 2021
Journal
Volume
48
Issue
9
Pages
5244 - 5258
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