{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11948311","patent":{"patent_number":"US-11948311","title":"Retrospective motion correction using a combined neural network and model-based image reconstruction of magnetic resonance data","assignee":null,"inventors":[],"filing_date":"2020-03-26T00:00:00.000Z","publication_date":"2024-04-02T00:00:00.000Z","cpc_codes":["G06T","A61B","A61B","A61B","A61B","G06T","G06T"],"num_claims":17,"abstract":"A combined physics-based and machine learning framework is used for reconstructing images from k-space data, in which motion artifacts are significantly reduced in the reconstructed images. In general, model-based retrospective motion correction techniques are accelerated using fast machine learning (“ML”) steps, which may be implemented using a trained neural network such as a convolutional neural network. In this way, the confidence of a classical physics-based reconstruction is obtained with the computational benefits of an ML-based network."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Retrospective motion correction using a combined neural network and model-based image reconstruction of magnetic resonance data","description":"A combined physics-based and machine learning framework is used for reconstructing images from k-space data, in which motion artifacts are significantly reduced in the reconstructed images. In general","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11948311","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11948311","citation_suggestion":"Patentable. \"Retrospective motion correction using a combined neural network and model-based image reconstruction of magnetic resonance data\" (US-11948311). https://patentable.app/patents/US-11948311","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11948311","json":"https://patentable.app/api/llm-context/US-11948311","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T07:00:35.178Z"}