Positron emission tomography image reconstruction using feature extraction.

Volume: 27, Issue: 5, Pages: 949 - 963
Published: Jan 1, 2019
Abstract
Purpose null To reduce the cost of positron emission tomography (PET) scanning systems, image reconstruction algorithms for low-sampled data have been extensively studied. However, the current method based on total variation (TV) minimization regularization nested in the maximum likelihood-expectation maximization (MLEM) algorithm cannot distinguish true structures from noise resulting losing some fine features in the images. Thus, this work...
Paper Details
Title
Positron emission tomography image reconstruction using feature extraction.
Published Date
Jan 1, 2019
Volume
27
Issue
5
Pages
949 - 963
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