Abstract: The present disclosure relates to automated systems and methods which assess the quality of radiology examinations and identify actionable changes to improve the quality of future exams. For each of a plurality of imaging studies, a study protocol and set of study metrics can be defined and the defined study protocol can be performed to generate data associated with the imaging study. A metrics assessment can be performed by applying at least a portion of the data associated with the result of the imaging study against the set of study metrics for the imaging study so as to generate a metrics score for the imaging study. The metrics scores can be stored in a score repository and analyzed so as to provide recommendations to improve the examination process.

Abstract: A system for patient imaging is provided. The system includes an imaging system and a parameter generator to determine parameters of at least a first phase of an injection procedure. The imaging system includes a scanner that has at least one x-ray tube. The parameter generator is programmed to determine at least one of the parameters on the basis of a voltage to be applied to the at least one x-ray tube during an imaging procedure. A method of controlling an injector system is also provided, and the method includes determining injection parameters, at least one of which is determined on the basis of a voltage to be applied to an x-ray tube during the imaging procedure, as well as controlling the injector system at least in part on the basis of the determined injection parameters.

Abstract: The present disclosure relates to automated systems and methods which assess the quality of radiology examinations and identify actionable changes to improve the quality of future exams. For each of a plurality of imaging studies, a study protocol and set of study metrics can be defined and the defined study protocol can be performed to generate data associated with the imaging study. A metrics assessment can be performed by applying at least a portion of the data associated with the result of the imaging study against the set of study metrics for the imaging study so as to generate a metrics score for the imaging study. The metrics scores can be stored in a score repository and analyzed so as to provide recommendations to improve the examination process.

Abstract: The present disclosure relates to automated systems and methods which assess the quality of radiology examinations and identify actionable changes to improve the quality of future exams. For each of a plurality of imaging studies, a study protocol and set of study metrics can be defined and the defined study protocol can be performed to generate data associated with the imaging study. A metrics assessment can be performed by applying at least a portion of the data associated with the result of the imaging study against the set of study metrics for the imaging study so as to generate a metrics score for the imaging study. The metrics scores can be stored in a score repository and analyzed so as to provide recommendations to improve the examination process.

Abstract: A system for patient imaging is provided. The system includes an imaging system and a parameter generator to determine parameters of at least a first phase of an injection procedure. The imaging system includes a scanner that has at least one x-ray tube. The parameter generator is programmed to determine at least one of the parameters on the basis of a voltage to be applied to the at least one x-ray tube during an imaging procedure. A method of controlling an injector system is also provided, and the method includes determining injection parameters, at least one of which is determined on the basis of a voltage to be applied to an x-ray tube during the imaging procedure, as well as controlling the injector system at least in part on the basis of the determined injection parameters.

Abstract: A system for patient imaging is provided. The system includes an imaging system and a parameter generator to determine parameters of at least a first phase of an injection procedure. The imaging system includes a scanner that has at least one x-ray tube. The parameter generator is programmed to determine at least one of the parameters on the basis of a voltage to be applied to the at least one x-ray tube during an imaging procedure. A method of controlling an injector system is also provided, and the method includes determining injection parameters, at least one of which is determined on the basis of a voltage to be applied to an x-ray tube during the imaging procedure, as well as controlling the injector system at least in part on the basis of the determined injection parameters.

Abstract: A system for patient imaging is provided. The system includes an imaging system and a parameter generator to determine parameters of at least a first phase of an injection procedure. The imaging system includes a scanner that has at least one x-ray tube. The parameter generator is programmed to determine at least one of the parameters on the basis of a voltage to be applied to the at least one x-ray tube during an imaging procedure. A method of controlling an injector system is also provided, and the method includes determining injection parameters, at least one of which is determined on the basis of a voltage to be applied to an x-ray tube during the imaging procedure, as well as controlling the injector system at least in part on the basis of the determined injection parameters.

Abstract: A method of extracting at least one time-value curve to determine a protocol in an imaging procedure using an imaging system, includes: determining a first N-dimensional data set of pixel values of a portion of a body of the patient at a first time using the imaging system, wherein N is an integer; determining at least a second N-dimensional data set of pixel values of the portion at a second time using the imaging system; computing a predetermined number of correlated segments of the imaged portion corresponding to a predetermined number of regions of interest of the patient by computing a similarity metric of a time series of pixel values; computing the at least one time-value curve for at least one of the regions of interest; and determining a protocol for a diagnostic scan using the image system based at least in part upon data from the time value curve.