{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10527699","patent":{"patent_number":"US-10527699","title":"Unsupervised deep learning for multi-channel MRI model estimation","assignee":null,"inventors":[],"filing_date":"2018-08-01T00:00:00.000Z","publication_date":"2020-01-07T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N"],"num_claims":7,"abstract":"An MRI apparatus performs multi-channel calibration acquisitions using a multi-channel receiver array and uses a convolutional neural network (CNN) to compute an estimated profile map that characterizes properties of the multi-channel receiver array. The profile map is composed of orthogonal vectors and transforms single-channel image space data to multi-channel image space data. The MRI apparatus performs a prospectively subsampled imaging acquisition and processes the resulting k-space data using the estimated profile map to reconstruct a final image. The CNN may be pretrained in an unsupervised manner using subsampled simulated multi-channel calibration acquisitions and using a regularization function included in a training loss function."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Unsupervised deep learning for multi-channel MRI model estimation","description":"An MRI apparatus performs multi-channel calibration acquisitions using a multi-channel receiver array and uses a convolutional neural network (CNN) to compute an estimated profile map that characteriz","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10527699","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-10527699","citation_suggestion":"Patentable. \"Unsupervised deep learning for multi-channel MRI model estimation\" (US-10527699). https://patentable.app/patents/US-10527699","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10527699","json":"https://patentable.app/api/llm-context/US-10527699","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:29:23.459Z"}