Abstract: A system and method for automatically estimating a hepatorenal index (HRI) from ultrasound images s provided. The method includes acquiring a sequence of ultrasound image data until a desired ultrasound image view is obtained. The method includes segmenting, a liver and a renal cortex in the obtained ultrasound image view. The method includes identifying valid samples in the liver and the renal cortex in the obtained ultrasound image view by excluding invalid samples. The method includes automatically positioning a liver region of interest and a renal cortex region of interest in the obtained ultrasound image view based on the valid samples and at least one criterion. The method includes determining an HRI and causing a display system to present the HRI.

Abstract: Systems and methods are provided for fully automated image optimization based on automated organ recognition. In medical imaging systems, during medical imaging based on a particular imaging technique, an anatomical feature in an area being imaged may be automatically identifying, and based on the identifying of the anatomical feature, one or more imaging parameters or settings for optimizing imaging quality for the identified anatomical feature may be automatically determined. Imaging functions may then be configured based on the determined one or more imaging parameters or settings, and, based on processing of medical imaging dataset acquired based on that configuration, one or more medical images for rendering. A deep learning and/or neural network based model may be used in identifying the anatomical feature and selecting the one or more imaging parameters or settings.

Abstract: Systems and methods are provided for fully automated image optimization based on automated organ recognition. In medical imaging systems, during medical imaging based on a particular imaging technique, an anatomical feature in an area being imaged may be automatically identifying, and based on the identifying of the anatomical feature, one or more imaging parameters or settings for optimizing imaging quality for the identified anatomical feature may be automatically determined. Imaging functions may then be configured based on the determined one or more imaging parameters or settings, and, based on processing of medical imaging dataset acquired based on that configuration, one or more medical images for rendering. A deep learning and/or neural network based model may be used in identifying the anatomical feature and selecting the one or more imaging parameters or settings.

Abstract: A method for configuring a programmable logic controller (PLC) having a protocol is provided. The method includes providing an extensible markup language (XML) schema for the protocol of the PLC. In another aspect, a method for configuring a programmable logic controller (PLC) having a protocol includes utilizing the schema to validate at least one XML file parsed from a comma separated variable (CSV) file created by a configuration tool for a protocol different than the protocol of the PLC. In another aspect, a method for configuring a programmable logic controller (PLC) having a protocol includes utilizing the schema to validate at least one XML file parsed from a comma separated variable (CSV) file created by a configuration tool.

Abstract: A method and system for sending and receiving XML message based transactions between a client and software components of a medical imaging system comprises forming a message with a client. The message comprises a header section and a data section and is sent to a first component. The first component receives the message and executes a transaction based on the message.

Abstract: Certain embodiments of the present invention provide a method and system for adaptive user interfacing with an imaging system. The method includes recording actions taken during use of an imaging system, comparing the actions to settings stored in a profile, and updating the profile with at least one of the actions if at least one of the actions satisfies a criterion. Use of the imaging system may include configuration and/or operation of the imaging system. The profile may be based on one or more users and/or one or more operational modes. In an embodiment, the profile is update with one or more of the recorded actions if one or more of the recorded actions is more recently used and/or more frequently used than a setting stored in the profile. A user interface for the imaging system may be customized based on the profile.

Abstract: A method and system for managing ultrasound examination information is provided. The method includes determining a completion of at least one ultrasound scan performed during an ultrasound examination and providing electronic notification of completion of the at least one ultrasound scan.

Abstract: A method and system for exporting ultrasound data is provided. The method includes accessing ultrasound data stored within an ultrasound system. The ultrasound data is stored in an ultrasound system readable format. The method further includes converting the ultrasound system readable format data to a user device readable format data for export from the ultrasound system and access via a user device.