ULTRASOUND SYSTEM WITH DEEP LEARNING NETWORK FOR IMAGE ARTIFACT IDENTIFICATION AND REMOVAL

An ultrasound system with a deep learning neural network feature is used to eliminate haze artifacts in B mode images of the carotid artery by analysis of orthogonal information. In a described implementation the orthogonal information comprises the structural information of a B mode image and motio...

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Bibliographic Details
Main Authors JOHNSON, Keith, William, CANFIELD, Earl, M, AGARWAL, Anup, ZHANG, Liang
Format Patent
LanguageEnglish
French
German
Published 24.06.2020
Subjects
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Summary:An ultrasound system with a deep learning neural network feature is used to eliminate haze artifacts in B mode images of the carotid artery by analysis of orthogonal information. In a described implementation the orthogonal information comprises the structural information of a B mode image and motion information of the same field of view as that of the B mode image. In another embodiment the neural network reduces haze artifacts by reducing TGC gain at the depth of artifacts.
Bibliography:Application Number: EP20180759552