Abstract: The present disclosure presents a system and method for determining Consumer Surplus Factor for a brand. The disclosed system and methods uses various techniques to counter the effect of spikes in data due to promotional activities, effects of multicollinearity among other things and also discloses a means for automatically determining the best possible models for computing Consumer Surplus Factor. The disclosed system and method use novel means of combining few known techniques which have been modified and integrated with additional novel steps to determine Consumer Surplus Factor. Beneficially, Consumer Surplus Factor can help in determining, without limitation, a pricing head room, maximum price a brand can charge, the optimal price to be charged and market share potential.

Abstract: Methods and systems are provided for automated protocol recommendation and selection in a medical imaging system. In one example, a method may include receiving, from a hospital-specific user interface, a standard procedure ID, determining a medical imaging procedure based on the standard procedure ID, and, responsive to having previously received the standard procedure ID, generating one or more protocol recommendations based at least on the determined medical imaging procedure, and performing the determined medical imaging procedure based on at least one of the one or more protocol recommendations.

Abstract: Methods and systems are provided for automated protocol recommendation and selection in a medical imaging system. In one example, a method may include receiving, from a hospital-specific user interface, a standard procedure ID, determining a medical imaging procedure based on the standard procedure ID, and, responsive to having previously received the standard procedure ID, generating one or more protocol recommendations based at least on the determined medical imaging procedure, and performing the determined medical imaging procedure based on at least one of the one or more protocol recommendations.

Abstract: Methods and systems are provided for automated protocol recommendation and selection in a medical imaging system. In one example, a method may include receiving, from a hospital-specific user interface, a standard procedure ID, determining a medical imaging procedure based on the standard procedure ID, and, responsive to having previously received the standard procedure ID, generating one or more protocol recommendations based at least on the determined medical imaging procedure, and performing the determined medical imaging procedure based on at least one of the one or more protocol recommendations.

Abstract: A cloud-based imaging protocol manager pushes standard imaging protocols from the cloud to imaging devices registered with the protocol manager. The protocol manager maintains a library storing standard imaging protocols, determines whether an imaging device is compatible with the standard protocol(s) to be pushed, creates a push command which requests pushing the standard protocol(s) to a compatible imaging device, stores the push command in a command queue, converts the standard protocol(s) to raw protocol(s) usable by the imaging device. The imaging device polls the command queue to receive the push command, downloads the raw protocol(s) from the protocol manager, commits or refuses to commit the downloaded protocol(s), and sends a notification to the protocol manager indicating execution status of the push command.

Abstract: A cloud-based imaging protocol manager pushes standard imaging protocols from the cloud to imaging devices registered with the protocol manager. The protocol manager maintains a library storing standard imaging protocols, determines whether an imaging device is compatible with the standard protocol(s) to be pushed, creates a push command which requests pushing the standard protocol(s) to a compatible imaging device, stores the push command in a command queue, converts the standard protocol(s) to raw protocol(s) usable by the imaging device. The imaging device polls the command queue to receive the push command, downloads the raw protocol(s) from the protocol manager, commits or refuses to commit the downloaded protocol(s), and sends a notification to the protocol manager indicating execution status of the push command.

Abstract: Apparatus, systems, and methods for imaging protocol management are disclosed and described. An example imaging protocol manager includes an orchestrator, a baseliner, and a protocol application. The example orchestrator is to trigger a pull of a first imaging protocol. The example baseliner is configured to at least: process the first imaging protocol; and evaluate the first imaging protocol in comparison to a second imaging protocol from a protocol library to identify the first imaging protocol as at least one of a matching protocol, a new protocol, or a deviation with respect to the second imaging protocol, the deviation to be identified when the first imaging protocol is a partial match to the second imaging protocol. When the deviation is identified, the example baseliner is configured to remediate the deviation. When the first imaging protocol is identified as new, the example baseliner is to trigger storage of the first imaging protocol.

Abstract: Apparatus, systems, and methods for imaging protocol management are disclosed and described. An example imaging protocol manager includes an orchestrator, a baseliner, and a protocol application. The example orchestrator is to trigger a pull of a first imaging protocol. The example baseliner is configured to at least: process the first imaging protocol; and evaluate the first imaging protocol in comparison to a second imaging protocol from a protocol library to identify the first imaging protocol as at least one of a matching protocol, a new protocol, or a deviation with respect to the second imaging protocol, the deviation to be identified when the first imaging protocol is a partial match to the second imaging protocol. When the deviation is identified, the example baseliner is configured to remediate the deviation. When the first imaging protocol is identified as new, the example baseliner is to trigger storage of the first imaging protocol.

Abstract: A cloud-based imaging protocol manager pushes standard imaging protocols from the cloud to imaging devices registered with the protocol manager. The protocol manager maintains a library storing standard imaging protocols, determines whether an imaging device is compatible with the standard protocol(s) to be pushed, creates a push command which requests pushing the standard protocol(s) to a compatible imaging device, stores the push command in a command queue, converts the standard protocol(s) to raw protocol(s) usable by the imaging device. The imaging device polls the command queue to receive the push command, downloads the raw protocol(s) from the protocol manager, commits or refuses to commit the downloaded protocol(s), and sends a notification to the protocol manager indicating execution status of the push command.

Abstract: Medical images are automatically segmented by customizing the morphological segmentation of features identified in the image based upon statistical analysis of the features within each region to be analyzed. The statistical description of the features, as reported through a feature vector, informs the system as to which input variables to select for further segmentation analysis for features residing within the region of the image analyzed. By customizing the automatic segmentation analysis to produce an enhanced image, features within the image are characterized more efficiently and precisely. False positive identification of lesions are minimized without sacrifice of true positive identifications.