{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11992348","patent":{"patent_number":"US-11992348","title":"Machine learning model to adjust C-arm cone-beam computed tomography device trajectories","assignee":null,"inventors":[],"filing_date":"2020-09-04T00:00:00.000Z","publication_date":"2024-05-28T00:00:00.000Z","cpc_codes":["A61B","A61B","A61B","A61B","A61B","A61B","A61B","G16H","G16H","G16H"],"num_claims":20,"abstract":"A device may receive an X-ray image captured by a C-arm CBCT device at a particular position defined by a six-degree of freedom pose relative to an anatomy, and may process the X-ray image, with a machine learning model, to determine a predicted quality of next possible X-ray images provided by the C-arm CBCT device. The device may utilize the machine learning model, to identify a particular X-ray image, of the next possible X-ray images, with a greatest predicted quality and to update the six-degree of freedom pose based on the particular X-ray image. The device may provide, to the C-arm CBCT device, data that identifies the updated six-degree of freedom pose to cause the C-arm CBCT device to adjust to a new position based on the updated six-degree of freedom pose."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Machine learning model to adjust C-arm cone-beam computed tomography device trajectories","description":"A device may receive an X-ray image captured by a C-arm CBCT device at a particular position defined by a six-degree of freedom pose relative to an anatomy, and may process the X-ray image, with a mac","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11992348","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-11992348","citation_suggestion":"Patentable. \"Machine learning model to adjust C-arm cone-beam computed tomography device trajectories\" (US-11992348). https://patentable.app/patents/US-11992348","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11992348","json":"https://patentable.app/api/llm-context/US-11992348","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T18:03:42.559Z"}