Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets; segmentation; visualization of flow superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets; segmentation; visualization of flow superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Abstract: A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to a remote service system. The PHI service, or an associated service, hosted within an organization performing scans, maintains a database of personally identifiable information, and may generate a cryptographic hash using one or more identifying fields which can then be sent to a service hosting the de-identified data. A cryptographic hash may be further secured by combining the identifying fields with a unique cryptographic key before hashing the value. Matching hashes indicate related studies within the remote service. The service may re-generate and send the cryptographic hashes for each study whenever the configured set of fields changes. This allows all data, historical and new, to be properly linked and related.

Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets; segmentation; visualization of flow superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Abstract: A fluid container (10) comprises a body (12), a neck (16), and a mouth (14) The neck is deformable from a first stable condition to a second stable condition, allowing the relative angle of the mouth to be changed.

Abstract: A fluid container (10) comprises a body (12), a neck (16), and a mouth (14) The neck is deformable from a first stable condition to a second stable condition, allowing the relative angle of the mouth to be changed.