Invention Grant
- Patent Title: Systems and methods for reducing colored noise in medical images using deep neural network
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Application No.: US16806689Application Date: 2020-03-02
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Publication No.: US11783451B2Publication Date: 2023-10-10
- Inventor: Daniel Litwiller , Xinzeng Wang , Ali Ersoz , Robert Marc Lebel , Ersin Bayram , Graeme Colin McKinnon
- Applicant: GE Precision Healthcare LLC
- Applicant Address: US WI Milwaukee
- Assignee: GE Precision Healthcare LLC
- Current Assignee: GE Precision Healthcare LLC
- Current Assignee Address: US WI Milwaukee
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T7/00 ; A61B6/00

Abstract:
Methods and systems are provided for de-noising medical images using deep neural networks. In one embodiment, a method comprises receiving a medical image acquired by an imaging system, wherein the medical image comprises colored noise; mapping the medical image to a de-noised medical image using a trained convolutional neural network (CNN); and displaying the de-noised medical image via a display device. The deep neural network may thereby reduce colored noise in the acquired noisy medical image, increasing a clarity and diagnostic quality of the image.
Public/Granted literature
- US20210272240A1 SYSTEMS AND METHODS FOR REDUCING COLORED NOISE IN MEDICAL IMAGES USING DEEP NEURAL NETWORK Public/Granted day:2021-09-02
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