Abstract: A system and method for correcting inhomogeneity of spatial intensity in 3D MR image data includes application of a 3D filter to the 3D MR image to generate a first set of data and a second set of data. The first set of data includes a high frequency component and a weak edge component, and the second set of data includes a low frequency component and a strong edge component. The system and method also include derivation of an inhomogeneity correction from the second set of data, application the inhomogeneity correction to the second set of data, and addition of the first set of data to the inhomogeneity corrected second set of data to create a corrected 3D MR image.

Abstract: A technique for selecting portions of a medical image data set to be stored and portions of the medical image data set to be discarded in order to reduce the overall amount of image data that is stored for each image data set. The selection is based on the clinical purpose for obtaining the medical image data. The clinical purpose for obtaining the medical image is used to select an atlas. The atlas is labeled with information that establishes the relative relevance of various regions of the atlas. The atlas is aligned to the image and the labeling information is transferred from the atlas to the medical image. Each region of the medical image is then processed based on the labeling information received from the atlas. The regions of greatest relevance are stored at their full resolution. Regions of lesser relevance are stored at less than the full resolution. Finally, regions of no relevance are discarded and not stored at all.

Abstract: A modular control system including a plurality of individual touch screen devices, each touch screen device including a display unit, a touch input, a computing device, a network connection, and a programming logic for controlling a remote system and displaying a status of the remote system on the touch screen device, the remote system having network connectivity to enable the remote system to exchange information with and respond to instructions from the touch screen devices, the touch screen devices configured for automatic self-synchronization based on a status of the remote system or a status of at least one of the touch screen devices.

Abstract: A technique for prioritizing portions of compressed multi-resolution medical image data to be processed. More relevant portions of medical image data are compressed at a higher resolution than less relevant portions of medical image data. A mask is created from the image data and used to assign data compression quality factors to corresponding image blocks in the image data. The image data in each region is compressed based on their assigned quality factor. During processing of the compressed image data, the compressed image data and the mask are accessed. The mask is used to direct the processing of the compressed image data.

Abstract: A technique for selecting portions of a multi-resolution medical image data set to be stored and the portions of the multi-resolution medical image data set to be discarded in order to reduce the overall amount of image data that is stored for each image data set. The selection is based on the clinical purpose for obtaining the medical image data. The clinical purpose for obtaining the medical image is used to select a segmentation algorithm to segment the image data into several regions based on their relevance to the purpose for obtaining the image data. A mask is created from the segmented data. The mask is used to assign data compression quality factors to corresponding regions in the image data. The image data in each region is compressed based on their assigned quality factor. The image data that is highly relevant is compressed with lossless data compression. The image data in regions of lesser relevance are compressed with lossy data compression.

Abstract: A method and a system are disclosed for operating an X-ray imaging subsystem with an X-ray imaging detector. Each subsystem may be one of many that could operate with one another to create X-ray images. An association is established between the imaging subsystem and the imaging detector, and a user-perceptible indication of the association is generated. The user may be prompted to confirm the association. Thereafter, the two subsystems may be used together for X-ray imaging. An X-ray source of the imaging subsystem may be disabled until the association is established or until the confirmation is received.

Abstract: A technique for prioritizing portions of compressed multi-resolution medical image data to be processed. More relevant portions of medical image data are compressed at a higher resolution than less relevant portions of medical image data. A mask is created from the image data and used to assign data compression quality factors to corresponding image blocks in the image data. The image data in each region is compressed based on their assigned quality factor. During processing of the compressed image data, the compressed image data and the mask are accessed. The mask is used to direct the processing of the compressed image data. Depending upon the application, the mask can be used to direct that the image data for the regions of most relevance be processed before the image data for the regions of lesser relevance. However, the mask can be used to direct that the image data for the regions of lesser relevance be processed before the image data for the regions of most relevance.

Abstract: A system and method for analyzing and visualizing spectral CT data includes access of a set of image data acquired from a patient comprising spectral CT data, identification of a plurality of target regions of interest (TROIs) and a reference region of interest (RROI) from the set of image data, extraction of a plurality of target spectral Hounsfield unit (HU) curves from image data representing the plurality of TROIs, extraction of a reference spectral HU curve from image data representing the RROI, normalization of the plurality of target spectral HU curves with respect to the reference spectral HU curve, and display of the plurality of normalized target spectral HU curves.

Abstract: A method for detecting a disease state is presented. In accordance with aspects of the present technique, a method for detecting a disease state is presented. The method includes creating a normal standardized data repository, where the normal standardized data repository includes one or more normal reference surface projections, where the normal reference surface projections include anatomical information obtained from one or more groups at different phases corresponding to one or more regions of interest in a normal organ, where each of the one or more groups includes one or more subjects having normal organs, and where the normal standardized data repository may be configured to aid in the detection of a disease state. Systems and computer-readable medium that afford functionality of the type defined by this method are also contemplated in conjunction with the present technique.

Abstract: A system and method for analyzing and visualizing a local feature of interest includes access of a clinical image dataset comprising clinical image data acquired from a patient, identification of a region of interest (ROI) from the clinical image dataset, and extraction of at least one local feature corresponding to the ROI. The system and method also include definition of a local feature dataset comprising data representing at least one local feature, access of a pre-computed reference dataset comprising image data representing an expected value of the at least one identified derived characteristic of interest, and comparison of the characteristic dataset to the pre-computed reference dataset. Further, the system and method include calculation of at least one deviation metric from the comparison and output of a visualization of the at least one deviation metric.

Abstract: A system and method for analyzing and visualizing local clinical features includes the access of a set of clinical data acquired from a patient, the set of clinical data comprising image data and clinical test result data. The system also includes identification of a region of interest (ROI) from the image data, identification of a clinical test dataset from the clinical test result data, the clinical test dataset comprising data from clinical tests associated with the ROI. Further the system includes the access of a deviation map representing a deviation between the clinical test dataset and a reference dataset, and the output of a visualization of the deviation map.

Abstract: A system and method for analyzing and visualizing local clinical features includes identification of a first region of interest (ROI) from a medical image dataset acquired from a patient and extraction of a feature dataset representing a feature of interest specific to the ROI. The system also includes identification of a second ROI from the medical image dataset, extraction of a reference dataset comprising reference data representing an expected behavior of the feature of interest, comparison of the feature dataset to the reference dataset, generation of a deviation metric representing a deviation of the feature of interest based on the comparison, and creation of a visual representation of the deviation metric.

Abstract: A system and method for analyzing and visualizing local clinical features includes access of a medical image dataset comprising image data acquired from a patient and identification of a region of interest (ROI) dataset corresponding to an ROI from the medical image dataset. The system also includes application of an automated algorithm to the ROI dataset, identification of an intermediate result used by the automated algorithm to analyze the ROI, and access of reference data corresponding to the intermediate result, the reference data derived from a reference dataset and representing an expected behavior of the intermediate result. Further, the system includes comparison of the intermediate result to the reference data, generation of a deviation metric based on the comparison, the deviation metric representing a deviation of the intermediate result, and creation of a visual representation of the deviation metric.

Abstract: A technique for prioritizing portions of compressed multi-resolution medical image data to be processed. More relevant portions of medical image data are compressed at a higher resolution than less relevant portions of medical image data. A mask is created from the image data and used to assign data compression quality factors to corresponding image blocks in the image data. The image data in each region is compressed based on their assigned quality factor. During processing of the compressed image data, the compressed image data and the mask are accessed. The mask is used to direct the processing of the compressed image data. Depending upon the application, the mask can be used to direct that the image data for the regions of most relevance be processed before the image data for the regions of lesser relevance. However, the mask can be used to direct that the image data for the regions of lesser relevance be processed before the image data for the regions of most relevance.

Abstract: A system and method for analyzing clinical data includes a reference database comprising a stored set of reference data comprising enumerated results of a reference population for a clinical test. The system also includes a patient database comprising a stored set of clinical data corresponding to a patient result for the clinical test that is selected from the enumerated results. A processor is included in the system and is programmed to access the patient and reference databases, identify a distribution of reference data over the enumerated test results, and calculate a relevance index based on the distribution of reference data. The processor is further programmed to compare the patient result to the distribution of reference data, calculate a disagreement index based on the comparison, and calculate a deviation index from the relevance and disagreement indices. A graphical user interface is also included to output a visualization of the deviation index.

Abstract: A system and method for correcting inhomogeneity of spatial intensity in 3D MR image data includes application of a 3D filter to the 3D MR image to generate a first set of data and a second set of data. The first set of data includes a high frequency component and a weak edge component, and the second set of data includes a low frequency component and a strong edge component. The system and method also include derivation of an inhomogeneity correction from the second set of data, application the inhomogeneity correction to the second set of data, and addition of the first set of data to the inhomogeneity corrected second set of data to create a corrected 3D MR image.

Abstract: A registration image is aligned or registered with a reference image by user interaction. The registration image is segmented into a hierarchy of elements defining a mesh having more than one level. At each level, individual elements may be selected by the user, translated, rotated and scaled with respect to the remainder of the registration image and to the reference image. Refinement of the user registration is facilitated by allowing the user to define further levels in the segmentation where each of the elements at the further levels may be separately manipulated in a similar manner. Interpolation may be performed between the moved or altered elements and between the elements and the remainder of the registration image to obtain a more satisfactorily registered image. The technique may be used with other interpolation and registration processes.

Abstract: A method and a system are disclosed for operating an X-ray imaging subsystem with an X-ray imaging detector. Each subsystem may be one of many that could operate with one another to create X-ray images. An association is established between the imaging subsystem and the imaging detector, and a user-perceptible indication of the association is generated. The user may be prompted to confirm the association. Thereafter, the two subsystems may be used together for X-ray imaging. An X-ray source of the imaging subsystem may be disabled until the association is established or until the confirmation is received.

Abstract: A system comprising a memory device having a plurality of routines stored therein, a processor configured to execute the plurality of routines stored in the memory device, the plurality of routines comprising: a routine configured to effect, when executed, accessing of patient deviation scores indicative of differences between patient data and reference data representative of a population segment, wherein the patient deviation scores are derived from longitudinal data of the patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data; a routine configured to effect, when executed, identifying a trend in the patient deviation scores for at least one clinical parameter; a routine configured to effect, when executed, generating of a report including a visual indication of the trend; and a routine configured to effect, when executed, outputting of

Abstract: A mobile dual-energy X-ray imaging system is presented. The mobile dual-energy X-ray imaging system is a digital X-ray system that is designed both to acquire original image data and to process the image data to produce an image for viewing. The system has an X-ray source and a portable flat-panel digital X-ray detector. The system is operable to produce a high energy image and low energy image, which may be decomposed to produce a soft tissue image and a bone image for further analysis of the desired anatomy. The system is disposed on a carrier to facilitate transport. The imaging system has an alignment system for facilitating alignment of the flat-panel digital detector with the X-ray source. The imaging system also comprises an anti-scatter grid and an anti-scatter grid registration system for removing artifacts of the anti-scatter grid from images.