Abstract: Systems and methods are provided for semi-automated, portable, ultrasound guided cannulation. The systems and methods provide for image analysis to provide for segmentation of vessels of interest from image data. The image analysis provides for guidance for insertion of a cannulation system into a subject which may be accomplished by a non-expert based upon the guidance provided. The guidance may include an indicator or a mechanical guide to guide a user for inserting the vascular cannulation system into a subject to penetrate the vessel of interest.

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 semi-automated, portable, ultrasound guided cannulation. The systems and methods provide for image analysis to provide for segmentation of vessels of interest from image data. The image analysis provides for guidance for insertion of a cannulation system into a subject which may be accomplished by a non-expert based upon the guidance provided. The guidance may include an indicator or a mechanical guide to guide a user for inserting the vascular cannulation system into a subject to penetrate the vessel of interest.

Abstract: Systems and methods are provided for objective, noninvasive staging of diffuse liver disease, and other diseases, from ultrasound shear wave elastography (“SWE”). A liver fibrosis staging SWE image analysis algorithm or toolkit may be used to detect the presence of liver disease and may integrate demographic, clinical, laboratory, conventional sonographic, SWE data, and the like into a combined disease diagnosis decision support model, such as for the diagnosis of high risk liver disease. Advanced image processing methods may be used to extract fibrosis pattern information from SWE and ultrasound (US) image data and this can be used to augment stiffness-based liver fibrosis staging methods.

Abstract: Quantitative measurement of parameters pertaining to scan technique, such as applied force and transducer angulation, is used to identify ultrasound users at increased risk for injury. Usage patterns known to increase risk of injury can also be used to identify poor scanning techniques during a scan and provide in-scan feedback to an ultrasound user to change scanning behavior. Data regarding scan technique can be aggregated to determine the risk of injury to an individual ultrasound machine operator. This data may be used by ultrasound machine operators and ultrasound managers to prevent injury by pre-emptively correcting scan technique associated with injury.