- Patent Title: Image quality score using a deep generative machine-learning model
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Application No.: US15606069Application Date: 2017-05-26
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Publication No.: US10043088B2Publication Date: 2018-08-07
- Inventor: Benjamin L. Odry , Boris Mailhe , Hasan Ertan Cetingul , Xiao Chen , Mariappan S. Nadar
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06K9/03
- IPC: G06K9/03 ; G06K9/62 ; G06K9/66

Abstract:
For image quality scoring of an image from a medical scanner, a generative model of an expected good quality image may be created using deep machine-learning. The deviation of an input image from the generative model is used as an input feature vector for a discriminative model. The discriminative model may also operate on another input feature vector derived from the input image. Based on these input feature vectors, the discriminative model outputs an image quality score.
Public/Granted literature
- US20170372155A1 Image Quality Score Using A Deep Generative Machine-Learning Model Public/Granted day:2017-12-28
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