{
  "docket": "method-magnetic-resonance-image-reconstruction-using-correlation-values",
  "confidence": 0.95,
  "published_at": "2026-06-04T04:29:19Z",
  "summary": {
    "name": "summary",
    "value": "Method and apparatus for MR image reconstruction using correlation values is marketed for licensing by Stanford University (OTL). It is documented in US patent US 7,768,264. The current assignee of record is General Electric Co. Google Patents reports its legal status as \u201cActive\u201d (an automated indicator, not a legal determination). Its expected expiration is 2028-11-20. Note: the patent's assignee of record is General Electric Co, not Stanford University (OTL); confirm that Stanford University (OTL) can license it before relying on this listing.",
    "citation": {
      "source": "ipnex",
      "license": "ipnex_derived",
      "method": "templated_summary_from_publishable_facts",
      "confidence": 0.6,
      "url": null
    }
  },
  "patent_number": {
    "name": "patent_number",
    "value": "US7768264",
    "citation": {
      "source": "google_patents",
      "license": "google_patents_ccby4.0",
      "method": "gp_page_documents_number",
      "confidence": 0.95,
      "url": "https://patents.google.com/patent/US7768264/en"
    }
  },
  "patent_fields": [
    {
      "name": "title",
      "value": "Method and apparatus for MR image reconstruction using correlation values",
      "citation": {
        "source": "google_patents",
        "license": "google_patents_ccby4.0",
        "method": "microdata_dc_title",
        "confidence": 0.9,
        "url": "https://patents.google.com/patent/US7768264/en"
      }
    },
    {
      "name": "current_owner",
      "value": "General Electric Co",
      "citation": {
        "source": "google_patents",
        "license": "google_patents_ccby4.0",
        "method": "microdata_assignee_current",
        "confidence": 0.8,
        "url": "https://patents.google.com/patent/US7768264/en"
      }
    },
    {
      "name": "original_assignee",
      "value": "General Electric Co",
      "citation": {
        "source": "google_patents",
        "license": "google_patents_ccby4.0",
        "method": "microdata_assignee_original",
        "confidence": 0.85,
        "url": "https://patents.google.com/patent/US7768264/en"
      }
    },
    {
      "name": "legal_status",
      "value": "Active",
      "citation": {
        "source": "google_patents",
        "license": "google_patents_ccby4.0",
        "method": "microdata_legal_status_gp_disclaims_accuracy",
        "confidence": 0.7,
        "url": "https://patents.google.com/patent/US7768264/en"
      }
    },
    {
      "name": "filing_date",
      "value": "2007-05-04",
      "citation": {
        "source": "google_patents",
        "license": "google_patents_ccby4.0",
        "method": "microdata_filing_date",
        "confidence": 0.9,
        "url": "https://patents.google.com/patent/US7768264/en"
      }
    },
    {
      "name": "priority_date",
      "value": "2007-05-04",
      "citation": {
        "source": "google_patents",
        "license": "google_patents_ccby4.0",
        "method": "microdata_priority_date",
        "confidence": 0.9,
        "url": "https://patents.google.com/patent/US7768264/en"
      }
    },
    {
      "name": "publication_date",
      "value": "2010-08-03",
      "citation": {
        "source": "google_patents",
        "license": "google_patents_ccby4.0",
        "method": "microdata_publication_date",
        "confidence": 0.9,
        "url": "https://patents.google.com/patent/US7768264/en"
      }
    },
    {
      "name": "expiration_date",
      "value": "2028-11-20",
      "citation": {
        "source": "google_patents",
        "license": "google_patents_ccby4.0",
        "method": "microdata_adjusted_expiration",
        "confidence": 0.75,
        "url": "https://patents.google.com/patent/US7768264/en"
      }
    }
  ],
  "ownership": {
    "signal": "third_party_owned",
    "flags_discrepancy": true,
    "institution": "Stanford University (OTL)",
    "current_owner": "General Electric Co",
    "original_assignee": "General Electric Co"
  },
  "link_out": {
    "institution": "Stanford University (OTL)",
    "listing_url": "https://techfinder.stanford.edu/technology/method-magnetic-resonance-image-reconstruction-using-correlation-values"
  }
}