Invention Grant
- Patent Title: Risk prediction for sudden cardiac death from image derived cardiac motion and structure features
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Application No.: US16845111Application Date: 2020-04-10
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Publication No.: US11350888B2Publication Date: 2022-06-07
- Inventor: Julian Krebs , Hiroshi Ashikaga , Tommaso Mansi , Bin Lou , Katherine Chih-ching Wu , Henry Halperin
- Applicant: Siemens Healthcare GmbH , The Johns Hopkins University
- Applicant Address: DE Erlangen; US MD Baltimore
- Assignee: Siemens Healthcare GmbH,The Johns Hopkins University
- Current Assignee: Siemens Healthcare GmbH,The Johns Hopkins University
- Current Assignee Address: DE Erlangen; US MD Baltimore
- Main IPC: G06K9/00
- IPC: G06K9/00 ; A61B5/00 ; A61B5/055 ; G06T7/00 ; G16H30/40 ; G16H50/30 ; G16H50/20
Abstract:
Systems and methods for personalized sudden cardiac death risk prediction that generates fingerprints of imaging features of cardiac structure and function. One or more fingerprints and clinical data may be used to generate a risk score. The output risk score may be used to predict the time of death in order to select high-risk patients for implantable cardioverter-defibrillator treatment.
Public/Granted literature
- US20210059612A1 RISK PREDICTION FOR SUDDEN CARDIAC DEATH FROM IMAGE DERIVED CARDIAC MOTION AND STRUCTURE FEATURES Public/Granted day:2021-03-04
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