Abstract: Systems, methods and apparatus are provided through which in some aspects an ocular scene is imaged and changes in the ocular scene relative to a calibration image, are tracked. In one aspect, an imaging instrument includes an eyepiece, a light source operable to project light, an imaging system operable to image an ocular scene; and a processing system operable to receive a set of calibration images, and further operable to capture an image of the imaged ocular scene associated with a calibration image. In another aspect, a method to track changes in an ocular scene includes receiving a set of calibration images, receiving a set of landmarks on each calibration image, capturing a set of images of an ocular scene, associating each captured image with a calibration image, and detecting landmarks on each captured image wherein each detected landmark corresponds to a landmark on the associated calibration image.

Abstract: Systems, methods and apparatus are provided through which in some aspects an ocular scene is imaged and changes in the ocular scene relative to a calibration image, are tracked. In one aspect, an imaging instrument includes an eyepiece, a light source operable to project light, an imaging system operable to image an ocular scene; and a processing system operable to receive a set of calibration images, and further operable to capture an image of the imaged ocular scene associated with a calibration image. In another aspect, a method to track changes in an ocular scene includes receiving a set of calibration images, receiving a set of landmarks on each calibration image, capturing a set of images of an ocular scene, associating each captured image with a calibration image, and detecting landmarks on each captured image wherein each detected landmark corresponds to a landmark on the associated calibration image.

Abstract: Systems, methods and apparatus are provided through which in some embodiments healthcare imaging processing applications are allocated to computing resources in reference to criteria.

Abstract: A method for managing data transmission between computing devices is disclosed. In one embodiment, the method includes monitoring a plurality of parameters of a computer network that includes a server and a client. The plurality of parameters may include a client resource parameter, a server resource parameter, and a network operating parameter. The disclosed method may also include automatically determining a desired compression level at which to send data to the client based at least in part on the client resource parameter, the server resource parameter, and the network operating parameter. Further, in one embodiment the method may include communicating the data from the server to the client at the desired compression level in response to a client request for the data. Various other methods, systems, and manufactures are also disclosed.

Abstract: A method for managing data transmission between computing devices is disclosed. In one embodiment, the method includes monitoring a plurality of parameters of a computer network that includes a server and a client. The plurality of parameters may include a client resource parameter, a server resource parameter, and a network operating parameter. The disclosed method may also include automatically determining a desired compression level at which to send data to the client based at least in part on the client resource parameter, the server resource parameter, and the network operating parameter. Further, in one embodiment the method may include communicating the data from the server to the client at the desired compression level in response to a client request for the data. Various other methods, systems, and manufactures are also disclosed.

Abstract: A process for purpose-specific enhancement filtering of anatomical data includes acts of selecting at least one specific purpose from a predetermined list of a plurality of analytical tools for anatomical data analysis and setting specific parameter values for the specific purpose. The process also includes acts of enhancing the anatomical data using a three-dimensional, segmentation-based filter, using the specific parameter values, to provide enhanced anatomical data and using the enhanced anatomical data for the selected specific purpose.

Abstract: A method for managing medical image data transmission between computing devices is disclosed. In one embodiment, the method includes monitoring a plurality of parameters of a computer network that includes a server and a client. The plurality of parameters may include a client resource parameter, a server resource parameter, and a network operating parameter. The disclosed method may also include automatically determining a desired compression level at which to send medical image data to the client based at least in part on the client resource parameter, the server resource parameter, and the network operating parameter. Further, in one embodiment the method may include communicating the medical image data from the server to the client at the desired compression level in response to a client request for the image data. Various other methods, systems, and manufactures are also disclosed.

Abstract: A method for managing medical image data transmission between computing devices is disclosed. In one embodiment, the method includes monitoring a plurality of parameters of a computer network that includes a server and a client. The plurality of parameters may include a client resource parameter, a server resource parameter, and a network operating parameter. The disclosed method may also include automatically determining a desired compression level at which to send medical image data to the client based at least in part on the client resource parameter, the server resource parameter, and the network operating parameter. Further, in one embodiment the method may include communicating the medical image data from the server to the client at the desired compression level in response to a client request for the image data. Various other methods, systems, and manufactures are also disclosed.

Abstract: A method and computer program product for processing a digital image is disclosed. A foreground region relating to an imaged object is estimated, a background region relating to other than the imaged object is estimated, and by using the image, the estimated foreground region and the estimated background region, a transition region disposed between the foreground region and the background region is calculated. The estimated foreground region, the estimated background region, and the calculated transition region, each include a separate set of pixels that may each be processed separately for suppressing pixel intensities in the estimated background region and improving image quality.

Abstract: A technique is provided for improving digital images by analysis of the sampling rate of the image data. The optimal sampling rate is determined, such as based on the point-spread function of the imaging system, and is compared to the actual pixel sampling rate. Based upon the comparison, the image may be shrunk or sub-sampled to provide the optimal sampling rate that allows for optimal image filtering while accounting for inherent variations in spatial resolution of the images.

Abstract: Systems, methods and apparatus are provided through which in some embodiments a normal database of metadata information is created from a standardization/normalization transformation of individual data values pertaining to all the labels in all axes of normal data. In some additional embodiments, a statistical metric is established from which is determined individual label-based abnormalities. In some additional embodiments, deviation of patient metadata from normal is displayed in a visual manner that lends to a holistic view of the results.

Abstract: Systems, methods and apparatus are provided through which in some embodiments, user interactions of adding, removing and selecting scale, within a mesh framework to improve repeatability and reproducibility of an arbitrary process in a three-dimensional medical space. In some embodiments, a multiple-mesh framework further improves performance of an arbitrary segmentation process.

Abstract: Systems, methods and apparatus are provided through which in some embodiments healthcare imaging processing applications are allocated to computing resources in reference to criteria.

Abstract: A technique is provided for improving workflow in processing and exchange of image data in a medical context. Image data may be accessed for processing, and save-state information may be generated following such processing that captures a state of an application used to process the image data files. A link to the save-state information may be stored on a common memory device and selected or executed by a radiologist or downstream service provider for accessing both the images and for placing the application in the state used to process the images. The resulting workflow greatly facilitates access to images as well as restoration of useful states of applications used to process the images.

Abstract: A process for purpose-specific enhancement filtering of anatomical data includes acts of selecting at least one specific purpose from a predetermined list of a plurality of analytical tools for anatomical data analysis and setting specific parameter values for the specific purpose. The process also includes acts of enhancing the anatomical data using a three-dimensional, segmentation-based filter, using the specific parameter values, to provide enhanced anatomical data and using the enhanced anatomical data for the selected specific purpose.

Abstract: Certain embodiments of the present invention relate to a signal-to-noise ratio dependent image processing system. The method includes computing at least one SNR for at least one region of an image, determining a filter parameter for at least one region based on the at least one SNR, and processing at least one region of the image based on the filter parameter. In addition to SNR, a filter parameter may be determined using user preferences. The system includes a signal-to-noise ratio processor for determining a signal-to-noise ratio for an image. The system also includes a parameter selection unit for selecting at least one filter parameter based on the signal-to-noise ratio. The system further includes an image filter for filtering the image based on the filter parameter(s). In an embodiment, the SNR processor determines signal-to-noise ratio(s) for region(s) in the image.