Artificial-intelligence-based global cardiac motion classification
A method for providing a global cardiac wall motion classification for a patient is disclosed, and includes employing Cardiac Magnetic Resonance (CMR) image data. In some embodiments, the method comprises one or more of a myocardium segmentation step, a slice classification step, a movement feature extraction step, and a global classification or evaluation step, wherein a patient is classified as having normal cardiac wall motion, or as having suspicious or abnormal cardiac wall motion..
Medienart: |
Patent |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Europäisches Patentamt - (2023) vom: 05. Dez. Zur Gesamtaufnahme - year:2023 |
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Sprache: |
Englisch |
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Beteiligte Personen: |
OLIVEIRA FERREIRA MANUEL JOÃO [VerfasserIn] |
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Links: |
Volltext [kostenfrei] |
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Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2023-12-05, Last update posted on www.tib.eu: 2023-12-26, Last updated: 2023-12-29 |
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Patentnummer: |
US11836921 |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
EPA018776841 |
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520 | |a A method for providing a global cardiac wall motion classification for a patient is disclosed, and includes employing Cardiac Magnetic Resonance (CMR) image data. In some embodiments, the method comprises one or more of a myocardium segmentation step, a slice classification step, a movement feature extraction step, and a global classification or evaluation step, wherein a patient is classified as having normal cardiac wall motion, or as having suspicious or abnormal cardiac wall motion. | ||
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