SYSTEMS AND METHODS FOR SIMULTANEOUS ATTENUATION CORRECTION, SCATTER CORRECTION, AND DE-NOISING OF LOW-DOSE PET IMAGES WITH A NEURAL NETWORK

SYSTEMS AND METHODS FOR SIMULTANEOUS ATTENUATION CORRECTION, SCATTER CORRECTION, AND DE-NOISING OF LOW-DOSE PET IMAGES WITH A NEURAL NETWORK

An image reconstruction system generates de-noised, attenuation corrected, and scatter corrected images using AI processing. The system receives a low-dose PET image and applies a machine learning algorithm via a convolutional neural network to the low-dose PET image to generate an output image. The...

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Bibliographische Detailangaben
Hauptverfasser: Whiteley, William, Hu, Jicun, Zhang, Xiang, Zhou, Chuanyu, Panin, Vladimir
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Beschreibung
Zusammenfassung:An image reconstruction system generates de-noised, attenuation corrected, and scatter corrected images using AI processing. The system receives a low-dose PET image and applies a machine learning algorithm via a convolutional neural network to the low-dose PET image to generate an output image. The output image includes correction for scatter and attenuation associated with the image being low-dose. The system provides the output image to a computing device comprising a user interface.