Abstract:
Systems, methods and apparatus are provided through which in some embodiments, and database of images have categorized levels of severity of a disease or medical condition is generated from human designation of the severity. In some embodiments, the severity of a disease or medical condition is diagnosed by comparison of a patient image to images in the database. In some embodiments, changes in the severity of a disease or medical condition of a patient are measured by comparing a patient image to images in the database.
Abstract:
Method and apparatus for handling data comprises decomposing data into a plurality of resolution levels using an integer wavelet decomposition. A transform module may be used to perform forward and inverse transformations on multi-dimensional data using integer wavelet transforms. A data stream is compiled comprising the plurality of resolution levels in a predetermined order. At least one resolution level of the plurality of resolution levels associated with a workflow application is accessed by a processor, and the workflow application is performed on the at least one resolution level.
Abstract:
Certain embodiments of the present invention provide a system and method for identifying stool particles in virtual dissection data for a colon. A shape classification may be determined for a segmented colon by three-dimensional filtering of a prone data set and a supine data set. The shape classification may be mapped onto a prone virtual dissection image and a supine virtual dissection image. The prone data set and the supine data set may be registered using one-dimensional registration to determine a registration. Shapes may be localized based on the shape classification and the registration for the prone virtual dissection and the supine virtual dissection. A distance metric may be applied to the localized shapes to identify stool particles. The identified stool particles may be suppressed. A prone virtual dissected image and a supine virtual dissected image may be displayed having the stool particles suppressed.
Abstract:
Systems, methods and apparatus are provided through which a specialized back-projection process reconstructs a finely detailed and crisp three-dimensional image (3-D ) from a series of two-dimensional (2-D) images by pre-filtering the 2-D images with a first group of settings before back-projecting the 2-D images into a 3-D image, and then post-filtering the 3-D image with another group of settings. In some embodiments, the first group of settings and the second group of settings are synergistically optimized in relation to each other to provide emphasis on a structure of interest in the object.
Abstract:
A technique for scheduling health care resources includes identifying particular characteristics of either the resources required for a procedure to be scheduled, or characteristics of a scheduling request. The characteristics may include a particular type of resource, its capabilities, skill levels of personnel, and so forth. Characteristics of requests may include urgency levels of procedures, urgency levels of service to be performed on required equipment, and so forth. Based upon the characteristics, the needed resources are scheduled, and schedules for each of the resources may be created, updated or modified. The characteristics may serve as a basis for prioritizing either the resources, the requests, or both.
Abstract:
A method for reducing noise in images includes utilizing an original image to generate a segmentation mask and a filtered image, and utilizing the filtered image, the original image, the segmentation mask and separate blending parameters for structural and nonstructural portions of the filtered image to generate a blended image. The method further includes contrast matching the blended image with the original image to produce an output image.
Abstract:
One or more techniques are provided for measuring the motion of an organ in three dimensions. As provided by the technique, the motion of the organ along each dimension may be determined by a suitable methodology. Where sensor-based motion measurements are suitable, one or more sensors may be placed on a patient to measure internal motion of the organ of interest along one or more perpendicular axes. Where image-based techniques are suitable, the motion of the internal organ along a perpendicular axis may determined using pre-acquisition image data or acquisition image data when suitable. Concurrent motion vectors for all three dimensions may be obtained from the motion data acquired for the perpendicular axes by the disparate methodologies. The concurrent motion vectors may be combined to describe the three-dimensional motion of the organ over time. Validation of the motion data may be performed for each of the one-dimensional motion data sets using motion data acquired by image-based methods, or other image-based methods, for a respective axis.
Abstract:
Certain embodiments of the present invention provide a system and method for automatically synchronizing multiple images. Multiple image sets of a single object are converted into a one dimensional data stream used to synchronize multiple image sets. A common reference point is located in the image sets. Various landmarks of the object are also located in the image sets. Corresponding landmarks among the image sets are noted. Distances from landmarks to the reference point and distances between landmarks are determined. Locations of the landmarks in relation to each other and in relation to the reference point are used to locate landmarks in another image set that correspond to landmarks in a selected image set. A first location in an image set may be identified using a first indicator. A second indicator corresponding to the location of the first indicator may then be determined in another image set.
Abstract:
A method for extracting a three-dimensional (3D) volume of interest from a three-dimensional (3D) image dataset includes accessing a 3D image dataset that includes a plurality of image slices, enclosing a 3D volume of interest in the 3D image dataset using a 3D mesh, automatically extracting the 3D volume of interest based on the 3D mesh, and generating a 3D image of the extracted 3D volume of interest. A computer and a non-transitory computer readable medium are also described herein.
Abstract:
Methods and apparatus for determining brain cortical thickness. One method includes determining an intensity profile at each of a plurality of cortical surface points of an imaged brain using brain tissue image data and calculating a cortical thickness based on a parametrically determined transition point of each intensity profile.