Abstract: An image processing system (IPS), comprising: an input interface (IN) for receiving a request to visualize image data captured of an anatomy of interest by an imaging apparatus (IA). An energy value determiner (EVD) is configured to determine based on at least one of the image data, the different image data or contextual data, an energy value for forming, from the image data, a monochromatic image. The determining by the energy value determiner (EVD) is based on an energy curve fitted to the image data. the image data forms part of a series of sectional images acquired of the anatomy of interest, or such sectional images derivable from the image data. The sectional images relate to different locations (z) of the anatomy. The energy curve is fitted to energy value control points assigned to at least a sub-set of the different locations (z). Each energy value control point represents a respective known energy value for a respective one of the sub-set of different locations.

Abstract: A system and/or method that facilitates sharing image viewing context between vendor visualization applications without integration of different software application from different vendors packages is describe herein. In one instance, a visualization computing system (102) includes a processor (116) that executes computer readable instructions that capture a visual context of an imaging study displayed via a basic visualization application running on a vendor computing system, identify the study based on the captured visual context, load the study on the visualization computing system, and launch an advanced visualization application, which allows viewing and manipulation of the loaded study using advanced visualization tools unavailable by the basic visualization application.

Abstract: An image processing system (IPS), comprising: an input interface (IN) for receiving a request to visualize image data captured of an anatomy of interest by an imaging apparatus (IA). An energy value determiner (EVD) is configured to determine based on at least one of the image data, the different image data or contextual data, an energy value for forming, from the image data, a monochromatic image. The determining by the energy value determiner (EVD) is based on an energy curve fitted to the image data. the image data forms part of a series of sectional images acquired of the anatomy of interest, or such sectional images derivable from the image data. The sectional images relate to different locations (z) of the anatomy. The energy curve is fitted to energy value control points assigned to at least a sub-set of the different locations (z). Each energy value control point represents a respective known energy value for a respective one of the sub-set of different locations.

Abstract: A method includes generating spectral projection data of a subject, including at least first spectral projection data corresponding to a first energy range and second spectral projection data corresponding to a second energy range, wherein the first and the second energy range are different. The method further includes constructing an image from a combination of the spectral projection data, and constructing a set of basis images for the 5 energy ranges and from the spectral projection data. The method further includes constructing a multi-dimensional histogram from the set of basis images, wherein the multi-dimensional histogram includes at least two axes, a first corresponding to a first basis component and a second corresponding to a second basis component, and the multi-dimensional histogram includes a set of clusters, including one cluster for each material 10 represented in the spectral projection data.

Abstract: A computing system (126) includes a memory device (130) configured to store image visualization application software, spectral imaging data, and spectral image reconstruction algorithms. The application software is configured to read electronic files containing images and formatted in a first format, the imaging data is formatted in a second different format, which the application software cannot read and/or interpret, and the algorithms are configured to read electronic files formatted in the second different format. A processor (128) is configured to access at least one of the algorithms through a proprietary software interface and process the imaging data with the at least one of the algorithms to produce a spectral image, and execute the application software to construct a graphical user interface with an image viewport displaying the spectral image. A display (132) is configured to display the graphical user interface with the spectral image displayed in the viewport.

Abstract: The invention relates to an image processing device (10) for processing diagnostic image data, comprising: a data input (11) for receiving vector-valued diagnostic image data and a quantification unit (12) for, for each pixel, determining a subset of identifiers, selected from a predetermined set of template identifiers, and determining for each identifier of the subset a quantification value indicative of a presence, proportion or significance in the pixel of a material or condition corresponding to the identifier. The device comprises a dictionary definition unit (14) for providing a dictionary that assigns an index to each unique identifier subset, and an image data encoder (16) for encoding the image data. The encoder is adapted for, for each pixel, calculating a bit sequence comprising a first set of bits encoding the index and further sets of bits encoding quantification values.

Abstract: A system (100) includes an imaging system (102) and a dedicated image review station computing system (104). The imaging system includes an acquisition system (112 and 114) and a reconstructor (116). The dedicated image review station computing system include at least one display monitor (124), a processor (128), and memory (130) with a dedicated review station instruction. A communication channel (136) is between the imaging system and the dedicated image review computing system. The imaging system is configured to, in response to reconstructing an image with the reconstructor with data acquired by the acquisition system, automatically transmit, via the communication channel, the image to the dedicated image review computing system, which is configured to independently display selected images of a set of received images from the imaging system respectively in at least one view port generated with dedicated review station instruction executed by the processor and displayed in the at least one display monitor.

Abstract: The invention relates to an image processing device (10) for processing diagnostic image data, comprising: a data input (11) for receiving vector-valued diagnostic image data and a quantification unit (12) for, for each pixel, determining a subset of identifiers, selected from a predetermined set of template identifiers, and determining for each identifier of the subset a quantification value indicative of a presence, proportion or significance in the pixel of a material or condition corresponding to the identifier. The device comprises a dictionary definition unit (14) for providing a dictionary that assigns an index to each unique identifier subset, and an image data encoder (16) for encoding the image data. The encoder is adapted for, for each pixel, calculating a bit sequence comprising a first set of bits encoding the index and further sets of bits encoding quantification values.

Abstract: In one embodiment, a method includes correlating, via a data correlator (120), contrast delivery information from an injector (118) for a contrast-enhanced imaging procedure with imaging data acquired by an imaging system (100) utilized for the procedure. In another embodiment, a method includes performing a pre-procedure validation check on at least one of an injector (118) or an imaging system (100) respectively based on at least one protocol parameter of the imaging system (100) or the injector (118) and generating, with the injector (118) or the imagining system (100), a value indicative of the validation check.

Abstract: A method includes generating spectral projection data of a subject, including at least first spectral projection data corresponding to a first energy range and second spectral projection data corresponding to a second energy range, wherein the first and the second energy range are different. The method further includes constructing an image from a combination of the spectral projection data, and constructing a set of basis images for the 5 energy ranges and from the spectral projection data. The method further includes constructing a multi-dimensional histogram from the set of basis images, wherein the multi-dimensional histogram includes at least two axes, a first corresponding to a first basis component and a second corresponding to a second basis component, and the multi-dimensional histogram includes a set of clusters, including one cluster for each material 10 represented in the spectral projection data.

Abstract: A method displays spectral image data reconstructed from spectral projection data with a first reconstruction algorithm and segmented image data reconstructed from the same spectral projection data with a different reconstruction algorithm, which is different from the first reconstruction algorithm. The method includes reconstructing spectral projection data with the first reconstruction algorithm, which generates the spectral image data and displaying the spectral image data. The method further includes reconstructing the spectral projection data with the different reconstruction algorithm, which generates segmentation image data, segmenting the segmentation image data, which produces the segmented image data, and displaying the segmented image data.

Abstract: A computing system includes a memory (114) that stores instructions of an image finger printer module (116). The computing system further includes a processor (112) that receives a bitmap digital image and generates a first key, which is an electronic compressed representation of the bitmap digital image, that uniquely identifies the bitmap digital image. A computer readable storage medium is encoded with computer readable instructions, which, when executed by a processor, causes the processor to: normalize a bitmap digital medical image; sample the normalized bitmap digital medical image; post-processes the sampled, normalized bitmap digital medical image; package the post-processed, sampled, normalized bitmap digital medical image as a key that uniquely identifies the bitmap digital medical image.

Abstract: A method includes at least a portion of an image displayed on a video screen or film, and generating a signal indicative thereof, wherein the at least a portion of the image includes encoded information identifying at least one of a visualization tool or information that are not available without the encoded information, identifying and reading the encoded information, and at least one of invoking the visualization tool or displaying the information identified and read from the encoded information.

Abstract: A computing system includes a memory (114) that stores instructions of an image finger printer module (116). The computing system further includes a processor (112) that receives a bitmap digital image and generates a first key, which is an electronic compressed representation of the bitmap digital image, that uniquely identifies the bitmap digital image. A computer readable storage medium is encoded with computer readable instructions, which, when executed by a processor, causes the processor to: normalize a bitmap digital medical image; sample the normalized bitmap digital medical image; post-processes the sampled, normalized bitmap digital medical image; package the post-processed, sampled, normalized bitmap digital medical image as a key that uniquely identifies the bitmap digital medical image.

Abstract: A method displays spectral image data reconstructed from spectral projection data with a first reconstruction algorithm and segmented image data reconstructed from the same spectral projection data with a different reconstruction algorithm, which is different from the first reconstruction algorithm. The method includes reconstructing spectral projection data with the first reconstruction algorithm, which generates the spectral image data and displaying the spectral image data. The method further includes reconstructing the spectral projection data with the different reconstruction algorithm, which generates segmentation image data, segmenting the segmentation image data, which produces the segmented image data, and displaying the segmented image data.

Abstract: A method includes planning a follow up three dimensional image acquisition of tissue of interest of a patient based on first and second two dimensional surview projection images, wherein the first two dimensional surview projection image was used to plan a previously performed baseline three dimensional image acquisition of the tissue of interest of the patient, wherein the first two dimensional surview projection image includes information corresponding to at least one region of interest identified in the first two dimensional surview projection image for the previously performed baseline three dimensional image acquisition, wherein the first two dimensional surview projection image includes information corresponding to a z-axis scanning extent identified in the first two dimensional surview projection image for the previously performed baseline three dimensional baseline image acquisition, and wherein the second two dimensional surview projection image was acquired for planning the follow up three dimension

Abstract: A method and system using electromagnetic tracking to monitor the respiration of a patient. The system includes trackers attached to the patient that emit and receive a magnetic field that changes as the patient breathes. The changing field received by the tracker can be associated with the breathing states of the patient and used to generate a respiratory signal. The respiratory signal may be used to indicate when to advance an intervention tool during an intervention procedure on the patient. The same electromagnetic system may also be used to track the position of the intervention tool, further assisting the intervention procedure.

Abstract: A method and system for respiratory monitoring and indicating intervention tool advancement timing during an intervention procedure. Features include monitoring the respiration of a subject using a respiration monitor, wherein the respiration monitor produces a respiratory signal indicative of a plurality of respiratory states of the subject, scanning the subject using an imaging device and generating a first imaging data set, wherein the imaging data set is associated with a respiratory state of the subject, and indicating when to advance an intervention tool based on the respiratory signal using an advancement indicator, such that advancement of the intervention tool occurs during the respiratory state of the subject, and where the subject need not hold his breath.

Abstract: A method includes visually presenting a primary image (208) in a main viewport (204) of a display monitor (116). The primary image is processed with a first processing algorithm. The method further includes visually presenting a primary region of interest (210) over a sub-portion of the primary image. The primary region of interest identifies an area of interest in the primary. The method further includes visually presenting, concurrently with visually presenting a primary region of interest, at least one secondary region of interest (212, 214) over a different sub-portion of the primary image. The at least one secondary region of interest shows the same area of interest as in the primary region of interest, but processed with a second different processing algorithm.

Abstract: A method includes at least a portion of an image displayed on a video screen or film, and generating a signal indicative thereof, wherein the at least a portion of the image includes encoded information identifying at least one of a visualization tool or information that are not available without the encoded information, identifying and reading the encoded information, and at least one of invoking the visualization tool or displaying the information identified and read from the encoded information.