Invention Grant
- Patent Title: Deep learning medical systems and methods for image reconstruction and quality evaluation
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Application No.: US15360742Application Date: 2016-11-23
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Publication No.: US10074038B2Publication Date: 2018-09-11
- Inventor: Jiang Hsieh , Gopal Avinash , Saad Sirohey , Xin Wang , Zhye Yin , Bruno De Man
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Hanley, Flight and Zimmerman, LLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06N3/04 ; G06N3/08 ; G06T7/00 ; G06K9/46

Abstract:
Methods and apparatus to automatically generate an image quality metric for an image are provided. An example method includes automatically processing a first medical image using a deployed learning network model to generate an image quality metric for the first medical image, the deployed learning network model generated from a digital learning and improvement factory including a training network, wherein the training network is tuned using a set of labeled reference medical images of a plurality of image types, and wherein a label associated with each of the labeled reference medical images indicates a central tendency metric associated with image quality of the image. The example method includes computing the image quality metric associated with the first medical image using the deployed learning network model by leveraging labels and associated central tendency metrics to determine the associated image quality metric for the first medical image.
Public/Granted literature
- US20180144214A1 DEEP LEARNING MEDICAL SYSTEMS AND METHODS FOR IMAGE RECONSTRUCTION AND QUALITY EVALUATION Public/Granted day:2018-05-24
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