Invention Grant
- Patent Title: Deep learning based estimation of data for use in tomographic reconstruction
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Application No.: US16474861Application Date: 2017-01-05
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Publication No.: US11039805B2Publication Date: 2021-06-22
- Inventor: Bruno Kristiaan Bernard De Man , Bernhard Erich Hermann Claus , Jiang Hsieh , Yannan Jin , Zhanfeng Xing
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- International Application: PCT/CN2017/070283 WO 20170105
- International Announcement: WO2018/126396 WO 20180712
- Main IPC: G06K9/00
- IPC: G06K9/00 ; A61B6/00 ; G06N20/20 ; G06N3/04 ; G06N3/08 ; G06T3/40 ; G06T5/00 ; G06T5/20 ; G06T5/40 ; G06T5/50 ; G06T7/00 ; G06T11/00
Abstract:
A method relates to the use of deep learning techniques, which may be implemented using trained neural networks (50), to estimate various types of missing projection or other unreconstructed data. Similarly, the method may also be employed to replace or correct corrupted or erroneous projection data as opposed to estimating missing projection data.
Public/Granted literature
- US20190328348A1 DEEP LEARNING BASED ESTIMATION OF DATA FOR USE IN TOMOGRAPHIC RECONSTRUCTION Public/Granted day:2019-10-31
Information query
