{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10535133","patent":{"patent_number":"US-10535133","title":"Automated anatomical labeling by multi-contrast diffeomorphic probability fusion","assignee":null,"inventors":[],"filing_date":"2015-01-20T00:00:00.000Z","publication_date":"2020-01-14T00:00:00.000Z","cpc_codes":["A61B","A61B","A61B","A61B","A61B","G06F","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T"],"num_claims":27,"abstract":"A computer-implemented method, system and non-transitory computer readable storage medium for classifying a region of interest of a subject, including receiving imaging data comprising at least one image element, the imaging data comprising the region of interest of the subject; providing a plurality of atlases, each of the plurality of atlases having a candidate region that corresponds to the region of interest of the imaging data, each of the plurality of atlases having at least one image element with associated location and property information; co-registering the plurality of atlases to the imaging data, using at least one processor; assigning a probability to generate a labeling parameter for the region of interest, the probability being associated with each atlas; and classifying the region of interest of the subject based on the assigning."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Automated anatomical labeling by multi-contrast diffeomorphic probability fusion","description":"A computer-implemented method, system and non-transitory computer readable storage medium for classifying a region of interest of a subject, including receiving imaging data comprising at least one im","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10535133","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-10535133","citation_suggestion":"Patentable. \"Automated anatomical labeling by multi-contrast diffeomorphic probability fusion\" (US-10535133). https://patentable.app/patents/US-10535133","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10535133","json":"https://patentable.app/api/llm-context/US-10535133","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T09:22:07.658Z"}