Invention Grant
- Patent Title: Identifying image artifacts by means of machine learning
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Application No.: US16142076Application Date: 2018-09-26
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Publication No.: US11010897B2Publication Date: 2021-05-18
- Inventor: Thomas Flohr , Bernhard Schmidt
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Agency: Harness, Dickey & Pierce, P.L.C.
- Priority: DE102017217550.8 20171002
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06K9/62

Abstract:
A method is for producing an identification unit for identifying image artifacts automatically. In an embodiment, the method includes providing a learning processing apparatus; providing an initial identification unit; providing a first image data library including artifact reference acquisitions containing image artifacts; and training the identification unit using the image artifacts. An identification method is for identifying image artifacts automatically in an image acquisition. In an embodiment, the identification method includes: providing a trained identification unit; providing an image acquisition produced via a medical imaging system; inspecting the image acquisition for image artifacts by the identification unit; and labeling the ascertained image artifacts.
Public/Granted literature
- US20190102883A1 IDENTIFYING IMAGE ARTIFACTS BY MEANS OF MACHINE LEARNING Public/Granted day:2019-04-04
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