- Patent Title: Deep learning based medical system and method for image acquisition
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Application No.: US17325010Application Date: 2021-05-19
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Publication No.: US11763429B2Publication Date: 2023-09-19
- Inventor: Sudhanya Chatterjee , Dattesh Dayanand Shanbhag
- Applicant: GE Precision Healthcare LLC
- Applicant Address: US WI Wauwatosa
- Assignee: GE Precision Healthcare LLC
- Current Assignee: GE Precision Healthcare LLC
- Current Assignee Address: US WI Wauwatosa
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T5/00 ; G06T7/00 ; G06N3/08

Abstract:
A medical imaging system having at least one medical imaging device providing image data of a subject is provided. The medical imaging system further includes a processing system programmed to train a deep learning (DL) network using a plurality of training images to predict noise in input data. The plurality of training images includes a plurality of excitation (NEX) images acquired for each line of k-space training data. The processing system is further programmed to use the trained DL network to determine noise in the image data of the subject and to generate a denoised medical image of the subject having reduced noise based on the determined noise in the image data.
Public/Granted literature
- US20220375035A1 DEEP LEARNING BASED MEDICAL SYSTEM AND METHOD FOR IMAGE ACQUISITION Public/Granted day:2022-11-24
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