Invention Grant
- Patent Title: Systems and methods for deblurring medical images using deep neural network
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Application No.: US16543434Application Date: 2019-08-16
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Publication No.: US11257191B2Publication Date: 2022-02-22
- Inventor: Daniel Vance Litwiller , Robert Marc Lebel
- 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: G06K9/00
- IPC: G06K9/00 ; G06T5/00 ; G06N20/10 ; G06N3/04 ; G06N3/08 ; G06T7/00

Abstract:
Methods and systems are provided for deblurring medical images using deep neural networks. In one embodiment, a method for deblurring a medical image comprises receiving a blurred medical image and one or more acquisition parameters corresponding to acquisition of the blurred medical image, incorporating the one or more acquisition parameters into a trained deep neural network, and mapping, by the trained deep neural network, the blurred medical image to a deblurred medical image. The deep neural network may thereby receive at least partial information regarding the type, extent, and/or spatial distribution of blurring in a blurred medical image, enabling the trained deep neural network to selectively deblur the received blurred medical image.
Public/Granted literature
- US20210049743A1 SYSTEMS AND METHODS FOR DEBLURRING MEDICAL IMAGES USING DEEP NEURAL NETWORK Public/Granted day:2021-02-18
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