Single-Subject Deep-Learning Image Reconstruction With a Neural Optimization Transfer Algorithm for PET-Enabled Dual-Energy CT Imaging
Author:
Affiliation:
1. Department of Radiology, University of California Davis Health, Sacramento, CA, USA
Funder
National Institutes of Health
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/83/10346232/10577580.pdf?arnumber=10577580
Reference59 articles.
1. Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications
2. Dual Energy CT Attenuation Correction Methods for Quantitative Assessment of Response to Cancer Therapy with PET/CT Imaging
3. Dual energy CT for attenuation correction with PET/CT
4. Clinical utility of dual-energy CT used as an add-on to 18F FDG PET/CT in the preoperative staging of resectable NSCLC with suspected single osteolytic metastases
5. PET-enabled dual-energy CT: image reconstruction and a proof-of-concept computer simulation study
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