Abstract: A system includes a structural imaging acquisition unit, a functional imaging acquisition unit, and one or more processors. The structural imaging acquisition unit is configured to perform a structural scan to acquire structural imaging information of a patient. The functional imaging acquisition unit is configured to perform a functional scan to acquire functional imaging information of a patient.

Abstract: A method includes obtaining volumetric image data generated by an imaging system, generating an uncertainty for each voxel of the volumetric image data, and generating an evaluation volume with volumetric image data based on the generated uncertainty. The method further includes receiving an input identifying a region and/or volume of interest in the evaluation volume, receiving an intended diagnostic type, receiving an evaluation probability level of interest, and receiving an effect direction of interest. The method further includes deforming the evaluation volume to create an artificial volume that reflects an effect of the uncertainty on the intended diagnostic type based on the evaluation probability level of interest and the effect direction of interest. The method further includes visually displaying the deformed evaluation volume.

Abstract: A method includes obtaining at least a first energy dependent spectral image volume and a second different energy dependent spectral image volume from reconstructed spectral image data. The method further includes generating a multi-dimensional spectral diagram that maps, for each voxel, a value of the first energy dependent spectral image volume to a corresponding value of the second energy dependent spectral image volume. The method further includes generating a set of spectral texture analysis weights from the multi-dimensional spectral diagram. The method further includes retrieving a set of texture analysis functions, which are generated as a function of voxel intensity and voxel gradient value from a co-occurrence matrix histogram. The method further includes generating a texture analysis map through a texture analysis of the reconstructed spectral image data with the set of texture analysis functions and the set of spectral texture analysis weights and visually presenting the texture analysis map.

Abstract: A method includes combining a plurality of different types of spectral images into a first single blended image based on a first blend point of a first spectral image data blend map. The first blend point includes a first set of weight values. The first set of weight values includes a weight value for each of the plurality of different types of spectral images. The plurality of different types of spectral images is combined based on the first set of weight values. The method further comprising displaying the first single blended image via a display device.

Abstract: The following generally relates to scaling irregularity maps based at least on one of a histogram bin width, an image noise or a contrast agent concentration. A method includes obtaining a non-scaled irregularity map generated based on local weighted histograms of voxel distributions about voxels of interest from volumetric image data of a subject or object. The local weighted histograms include a plurality of bins having a predetermined bin width. The local weights are determined based on a predetermined cluster length. The method further includes scaling the non-scaled irregularity map, generating a scaled irregularity map. The non-scaled irregularity map is scaled based at least on the histogram bin width.

Abstract: A method includes obtaining image data that includes contrast enhanced spectral image data from a contrast enhanced spectral volume scan of a subject. The method further includes obtaining images that include a set of localized dynamic contrast enhanced images from a localized dynamic contrast enhanced series scan of the subject. The method further includes determining a fluid volume map based on the image data and the images. A computing system includes a computer readable storage medium with computer readable instructions for a fluid volume map determiner. The instructions determine a volumetric fluid volume map based on contrast enhanced spectral volume image data from a contrast enhanced spectral volume scan and a set of localized dynamic contrast enhanced images from a localized dynamic contrast enhanced series scan. The computing system further includes a processor that implements the instructions and determines the volumetric fluid volume map.

Abstract: A method for determining a final response class of tissue of interest to a therapy treatment includes obtaining a first set of probabilities of response classes and at least a second set of probabilities of the response classes. The method further includes combining the first and the at least second sets of probabilities of the response classes, thereby generating a combined set of probabilities of the response classes. The method further includes determining the final response class of the tissue of interest to the therapy treatment from a plurality of predefined response classes based on the combined set of probabilities of the response classes. The method further includes generating a signal indicative of the final response class.

Abstract: A method includes obtaining contrast enhanced spectral image data that includes voxels representing a tubular structure. The method further includes generating at least a contrast map based on the obtained contrast enhanced spectral image data. The method further includes generating an updated contrast map based on a spectral model. The method further includes segmenting the tubular structure based on updated contrast map. A computing system (120) includes a spectral analyzer (202) that receives contrast enhanced spectral image data and generates a spectral analysis data based thereon, wherein the spectral analysis data includes a contrast map, The computing system further includes a spectral analysis data processor (204) that refines the spectral analysis data, generating refined spectral analysis data.

Abstract: Described herein is an approach for analyzing perfusion characteristics of heterogeneous tissues in 4D data set (i.e., a time series of contrast enhanced 3D volumes) in which spatially entangled tissue components are separated into individual tissue components and perfusion maps for the individual tissue components are generated and visually presented. In one instance, the approach includes obtaining the 4D data set in electronic format, generating a different time activity curve point for each of the different tissue components for each voxel being evaluated for each time frame being evaluated, and generating a signal indicative of a different parameter map for each of the different tissue components based at least on the time activity curves. Optionally, relations between parameters of the different components are determined and presented in relation maps.

Abstract: The following generally relates to scaling irregularity maps based at least on one of a histogram bin width, an image noise or a contrast agent concentration. A method includes obtaining a non-scaled irregularity map generated based on local weighted histograms of voxel distributions about voxels of interest from volumetric image data of a subject or object. The local weighted histograms include a plurality of bins having a predetermined bin width. The local weights are determined based on a predetermined cluster length. The method further includes scaling the non-scaled irregularity map, generating a scaled irregularity map. The non-scaled irregularity map is scaled based at least on the histogram bin width.

Abstract: A device for monitoring food intake by a user to whom the device is attached includes at least one camera to acquire a series of images of at least a partial view of a manipulable limb of the user. A processor is configured to apply a probabilistic model to determine based on the series of images if a motion of the limb corresponds to at least one predetermined gesture that is indicative of taking a bite. A recorded sequence of events is updated when the motion is determined to correspond to a predetermined gesture. A signaling unit is operable by the processor to produce a signal that is sensible by the user, the signal being indicative of the updating of the sequence of events.

Abstract: A perfusion imaging data processor (122) includes an agent peak characteristic-time determiner (206) configured to determine two or more agent peak characteristic-times respectively for two or more circulatory sub-systems represented in a same sub-set of voxels of a set of time-series data of perfusion imaging data, an agent peak argument determiner (210) configured to determine an agent peak argument for each of the two or more agent peak characteristic-times, an agent peak argument relation determiner (212) configured to determine a relationship between the agent peak arguments of the two or more agent peak characteristic-times, and a perfusion map generator (214) configured to generate, based on the determined relationship and the perfusion imaging data, at least one perfusion map, wherein the at least one perfusion map includes volumetric image data visually presenting at least one of a relationship or a difference between the two or more circulatory sub-systems.

Abstract: A system (100) includes a stationary gantry (102) and a rotating gantry (104), wherein the rotating gantry is rotatably supported by the stationary gantry. The rotating gantry (104) includes a primary source (110) that emits primary radiation and a detector array (116) having at least one row of detector elements (502) extending along a longitudinal axis. The primary source and the detector array are located opposite each other, across an examination region, and the primary radiation traverses a path (112) between the primary source and the detector array and through an examination region (106) and illuminates the at least one row of detector elements of the detector array, which detects the primary radiation.

Abstract: Described herein is an approach for analyzing perfusion characteristics of heterogeneous tissues in 4D data set (i.e., a time series of contrast enhanced 3D volumes) in which spatially entangled tissue components are separated into individual tissue components and perfusion maps for the individual tissue components are generated and visually presented. In one instance, the approach includes obtaining the 4D data set in electronic format, generating a different time activity curve point for each of the different tissue components for each voxel being evaluated for each time frame being evaluated, and generating a signal indicative of a different parameter map for each of the different tissue components based at least on the time activity curves. Optionally, relations between parameters of the different components are determined and presented in relation maps.

Abstract: A method includes generating higher resolution image data based on undersampled higher resolution projection data and incomplete lower resolution projection data. The undersampled higher resolution projection data and the incomplete lower resolution projection data are acquired during different acquisition intervals of the same scan. A system includes a radiation source configured to alternately modulate emission radiation flux between higher and lower fluxes during different integration periods of a scan, a detector array configured to alternately switch detector pixel multiplexing between higher and lower resolutions in coordination with modulation of the fluxes, and a reconstructor configured to reconstruct higher resolution image data based on projection data corresponding to undersampled higher resolution projection data and incomplete lower resolution projection data.

Abstract: A vertical radiation sensitive detector array (114) includes at least one detector leaf (118). The detector leaf includes a scintillator array (210, 502, 807, 907), including, at least, a top side (212) which receives radiation, a bottom side (218) and a rear side (214) and a photo-sensor circuit board (200, 803, 903), including a photo-sensitive region (202, 508, 803, 903), optically coupled to the rear side of the scintillator array. The detector leaf further includes processing electronics (406) disposed below the scintillator array, a flexible circuit board (220) electrically coupling the photo-sensitive region and the processing electronics, and a radiation shield (236) disposed below the bottom of the scintillator array, between the scintillator and the processing electronics, thereby shielding the processing electronics from residual radiation passing through the scintillator array. Some embodiments incorporate rare earth iodides such as SrI 2 (Eu).

Abstract: A method includes determining a permeability metric of vascular tissue of interest based on a first time enhancement curve and second time enhancement curve corresponding to a first contrast material and a second contrast material flowing through the vascular tissue of interest and generating a signal indicative thereof.

Abstract: A method for enhancing functional image data includes obtaining functional image data, obtaining anatomical image data corresponding to the functional image data, and generating enhanced functional image data by diffusing the functional image data based on the functional image data and the anatomical image data.

Abstract: A method includes obtaining contrast enhanced perfusion imaging data of at least two vessel regions, one downstream from the other, and at least one tissue of interest, which receives blood from the circulatory system, of a scanned subject. The method further includes determining a blood flow time difference between contrast material peaks of the at least two vessel regions based on the image data. The method further includes determining an absolute perfusion of the tissue of interest based on the image data. The method further includes computing a standardized perfusion value based on the absolute perfusion and the time difference. The method further includes displaying the standardized perfusion value.

Abstract: A perfusion imaging data processor (122) includes an agent peak characteristic-time determiner (206) configured to determine two or more agent peak characteristic-times respectively for two or more circulatory sub-systems represented in a same sub-set of voxels of a set of time-series data of perfusion imaging data, an agent peak argument determiner (210) configured to determine an agent peak argument for each of the two or more agent peak characteristic-times,an agent peak argument relation determiner (212) configured to determine a relationship between the agent peak arguments of the two or more agent peak characterisic-times, and a perfusion map generator (214) configured to generate, based on the determined relationship and the perfusion imaging data, at least one perfusion map, wherein the at least one perfusion map includes volumetric image data visually presenting at least one of a relationship or a difference between the two or more circulatory sub-systems.