Wisconsin Alumni Research Foundation

Medical Imaging
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
For current licensing status, please contact Jeanine Burmania at [javascript protected email address] or 608-960-9846

WARF