PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model

• Published in: IEEE transactions on radiation and plasma medical sciences Vol. 6; no. 8; pp. 841 - 846
• Main Authors: Hashimoto, Fumio, Ote, Kibo, Onishi, Yuya
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; Brain; Deep image prior (DIP); Deep learning; Fluorine isotopes; forward projection model; Glucose; Image enhancement; Image filters; Image processing; Image reconstruction; Machine learning; Medical imaging; Monte Carlo simulation; Neural networks; Positron emission; Positron emission tomography; positron emission tomography (PET); Projection model; Reconstruction algorithms

Convolutional neural networks (CNNs) have recently achieved remarkable performance in positron emission tomography (PET) image reconstruction. In particular, CNN-based PET image reconstruction, which directly generates the reconstructed image from a sinogram, has potential applicability in PET image...