METHODS AND SYSTEM FOR SELECTIVE REMOVAL OF STREAK ARTIFACTS AND NOISE FROM IMAGES USING DEEP NEURAL NETWORKS

METHODS AND SYSTEM FOR SELECTIVE REMOVAL OF STREAK ARTIFACTS AND NOISE FROM IMAGES USING DEEP NEURAL NETWORKS

Methods and systems are provided for independently removing streak artifacts and noise from medical images, using trained deep neural networks. In one embodiment, streak artifacts and noise may be selectively and independently removed from a medical image by receiving the medical image comprising st...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Bayram, Ersin, Mandava, Sagar, Lebel, Robert Marc, Wang, Xinzeng, Litwiller, Daniel Vance, McKinnon, Graeme Colin
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Beschreibung
Zusammenfassung:Methods and systems are provided for independently removing streak artifacts and noise from medical images, using trained deep neural networks. In one embodiment, streak artifacts and noise may be selectively and independently removed from a medical image by receiving the medical image comprising streak artifacts and noise, mapping the medical image to a streak residual and a noise residual using the trained deep neural network, subtracting the streak residual from the medical image to a first extent, and subtracting the noise residual from the medical image to a second extent, to produce a de-noised medical image, and displaying the de-noised medical image via a display device.