Invention Grant
- Patent Title: Prediction of target ablation locations for treating cardiac arrhythmias using deep learning
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Application No.: US16903413Application Date: 2020-06-17
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Publication No.: US11587684B2Publication Date: 2023-02-21
- Inventor: Tommaso Mansi , Tiziano Passerini , Viorel Mihalef
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G16H50/50
- IPC: G16H50/50 ; A61B5/00 ; G16H30/40 ; A61B5/364 ; G06V10/40

Abstract:
Systems and methods for generating an ablation map identifying target ablation locations on a heart of a patient are provided. One or more input medical images of a heart of a patient and a voltage map of the heart of the patient are received. An ablation map identifying target ablation locations on the heart is generated using one or more trained machine learning based models based on the one or more input medical images and the voltage map. The ablation map is output.
Public/Granted literature
- US20210090744A1 PREDICTION OF TARGET ABLATION LOCATIONS FOR TREATING CARDIAC ARRHYTHMIAS USING DEEP LEARNING Public/Granted day:2021-03-25
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