Convolutional neural networks for improving image quality with noisy PET data
Abstract Goal PET is a relatively noisy Compression Clothing process compared to other imaging modalities, and sparsity of acquisition data leads to noise in the images.Recent work has focused on machine learning techniques to improve PET images, and this study investigates a deep learning approach to improve the quality of reconstructed image volu