{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11481934","patent":{"patent_number":"US-11481934","title":"System, method, and computer-accessible medium for generating magnetic resonance imaging-based anatomically guided positron emission tomography reconstruction images with a convolutional neural network","assignee":null,"inventors":[],"filing_date":"2019-10-10T00:00:00.000Z","publication_date":"2022-10-25T00:00:00.000Z","cpc_codes":["G06T","G06T","G06T"],"num_claims":18,"abstract":"An exemplary system, method and computer-accessible medium for generating an image(s) of a portion(s) of a patient(s) can be provided, which can include, for example, receiving first information associated with a combination of positron emission tomography (PET) information and magnetic resonance imaging (MRI) information, generating second information by applying a convolutional neural network(s) (CNN) to the first information, and generating the image(s) based on the second information. The PET information can be fluorodeoxyglucose PET information. The CNN(s) can include a plurality of convolution layers and a plurality of parametric activation functions. The parametric activation functions can include, e.g., a plurality of parametric rectified linear units. Each of the convolution layers can include, e.g., a plurality of filter kernels. The PET information can be reconstructed using a maximum likelihood estimation (MLE) procedure to generate a MLE image."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"System, method, and computer-accessible medium for generating magnetic resonance imaging-based anatomically guided positron emission tomography reconstruction images with a convolutional neural network","description":"An exemplary system, method and computer-accessible medium for generating an image(s) of a portion(s) of a patient(s) can be provided, which can include, for example, receiving first information assoc","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11481934","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-11481934","citation_suggestion":"Patentable. \"System, method, and computer-accessible medium for generating magnetic resonance imaging-based anatomically guided positron emission tomography reconstruction images with a convolutional neural network\" (US-11481934). https://patentable.app/patents/US-11481934","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11481934","json":"https://patentable.app/api/llm-context/US-11481934","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T13:15:16.084Z"}