Medical Imaging
A Deep Learning Based Data-Driven Approach For Attenuation Correction Of Pet Data
WARF: P180002US01
Inventors: Richard Kijowski, Hyungseok Jang, Tyler Bradshaw, Fang Liu, Alan McMillan
The Invention
The present disclosure includes systems and methods for creating positron emission tomography (PET) images. The method includes receiving at least one PET image of a subject created from PET data acquired from the subject, creating an attenuation correction map using the at least one PET image, and reconstructing PET data using the attenuation correction map and the at least one PET image to generate an attenuation corrected PET image.
Additional Information
For More Information About the Inventors
Publications
- Liu F, Jang H, Kijowski R, Zhao G, Bradshaw T, McMillan AB. A deep learning approach for 18F-FDG PET attenuation correction. EJNMMI Phys. 2018 Nov 12;5(1):24. doi: 10.1186/s40658-018-0225-8. PMID: 30417316; PMCID: PMC6230542.
Tech Fields
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