Abstract: Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

Abstract: A method includes obtaining image data for a patient. The image data corresponds to acquisition data from an imaging acquisition from a set of planned image acquisitions in an examination plan for the patient. The method further includes analyzing the image data with a processor based on an imaging practice guideline and producing electronically formatted data indicative of the analysis. The processor generates a signal indicative of a recommendation of a change to the examination plan based on the data indicative of the analysis.

Abstract: A method includes obtaining image data for a patient. The image data corresponds to acquisition data from an imaging acquisition from a set of planned image acquisitions in an examination plan for the patient. The method further includes analyzing the image data with a processor based on an imaging practice guideline and producing electronically formatted data indicative of the analysis. The processor generates a signal indicative of a recommendation of a change to the examination plan based on the data indicative of the analysis.

Abstract: A method for obtaining data including scanning an object using a multi-energy computed tomography (MECT) system to obtain data to generate an anatomical image, and decomposing the obtained data to generate a first density image representative of bone material and a second density image representative of soft-tissue. The method further includes segmenting at least one of the first density image and the second density image, and volume rendering the second density image.

Abstract: A method for facilitating a reduction in artifacts includes receiving data regarding a first energy spectrum of a scan of an object, and receiving data regarding a second energy spectrum of a scan of the object, wherein the second energy spectrum is different than the first energy spectrum. The method further includes reconstructing at least one original first energy image using the first energy spectrum data, reconstructing at least one original second energy image using the second energy spectrum data, transforming at least one original second energy image into at least one transformed first energy image, and combining at least one original first energy image with at least one transformed first energy image to generate a combined first energy image.

Abstract: A method for obtaining data includes quantifying tissue fat content using a multi-energy computed tomography (MECT) system.

Abstract: A method for plaque characterization. The method comprises obtaining a first set of image data created in response to a first x-ray energy level and including a plurality of pixel elements. Each of the first pixel elements corresponds to a unique location in an object being scanned. The method further comprises obtaining a second set of image data created in response to a second x-ray energy level and including a plurality of second pixel elements. Each of the second pixel elements corresponds to one of the first pixel elements and the second x-ray energy level is higher than the first x-ray energy level. The method also comprises calculating a third set of image data in response to the first set of image data and the second set of image data. The calculating includes subtracting each second pixel element from the corresponding first pixel element.

Abstract: A method for obtaining data including scanning an object using a multi-energy computed tomography (MECT) system to obtain data to generate an anatomical image, and decomposing the obtained data to generate a first density image representative of bone material and a second density image representative of soft-tissue. The method further includes segmenting at least one of the first density image and the second density image, and volume rendering the second density image.

Abstract: A method for obtaining data includes quantifying tissue fat content using a multi-energy computed tomography (MECT) system.

Abstract: A method for obtaining data including scanning an object using a multi-energy computed tomography (MECT) system to obtain data to generate an anatomical image, and decomposing the obtained data to generate a first density image representative of bone material and a second density image representative of soft-tissue. The method further includes segmenting at least one of the first density image and the second density image, and volume rendering the second density image.

Abstract: A method for facilitating a reduction in artifacts includes receiving data regarding a first energy spectrum of a scan of an object, and receiving data regarding a second energy spectrum of a scan of the object, wherein the second energy spectrum is different than the first energy spectrum. The method further includes reconstructing at least one original first energy image using the first energy spectrum data, reconstructing at least one original second energy image using the second energy spectrum data, transforming at least one original second energy image into at least one transformed first energy image, and combining at least one original first energy image with at least one transformed first energy image to generate a combined first energy image.

Abstract: A method for discriminating multiple contrast agents using a medical imaging system includes introducing a first contrast agent into a first vessel, introducing a second contrast agent different from the first contrast agent into a second vessel different from the first vessel, acquiring a plurality of projection data of an area of interest in flow communication with the first vessel and the second vessel, and decomposing the projection data into a first density map representative of the first contrast agent and a second density map representative of the second contrast agent.

Abstract: A method for plaque characterization. The method comprises obtaining a first set of image data created in response to a first x-ray energy level and including a plurality of pixel elements. Each of the first pixel elements corresponds to a unique location in an object being scanned. The method further comprises obtaining a second set of image data created in response to a second x-ray energy level and including a plurality of second pixel elements. Each of the second pixel elements corresponds to one of the first pixel elements and the second x-ray energy level is higher than the first x-ray energy level. The method also comprises calculating a third set of image data in response to the first set of image data and the second set of image data. The calculating includes subtracting each second pixel element from the corresponding first pixel element.