Abstract:
A method for navigating a three-dimensional (3D) image includes accessing a 3D image dataset, generating a 3D mesh corresponding to a 3D segmentation result using the 3D image dataset, displaying a 3D surface rendering of the 3D surface mesh, and navigating the 3D image based on a manual input received from a user indicated on the rendered 3D mesh.
Abstract:
The present invention is a system and method of remote patient monitoring to allow a patient to initiate and activate sensing systems. In the system and method, standard parameters can be sensed, and the information can then be processed and sent to the physician or clinician. The clinician then has the ability to remotely configure or reconfigure the parameters of the sensing system so as to probe for more targeted information based on the initial sensed data.
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:
A technique for identifying, analyzing, structuring, mapping and classifying data entities is disclosed. A conceptual framework is established by a domain definition having an association list of attributes of interest. Data entities are accessed, analyzed, structured if appropriate, mapped and classified in accordance with the association list and attributes found in the entities, and in accordance with rules and algorithms for analyzing, recognizing and classifying the attributes. Various types of analysis may be performed following the classification. Searches and selection of the data entities may also be performed. Complex data entities may be processed, including text documents, image data, audio data, waveform data, and combinations of these.
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 is provided for detecting and responding to serviceable conditions in systems. Following detection of an indicator of a serviceable condition, a service request is generated and transmitted to a service provider. The requests results in consultation of a service knowledge base that contains information on the indicators, potential causes or conditions that could result in the indicators, and responses to the conditions. Responses may then be generated automatically for satisfying the service requests.
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 technique is disclosed for servicing complex systems. Upon detection of a serviceable condition, a system snapshot is made and stored. The snapshot may include a range of data then available on the system, particularly hardware configuration data, such as components then installed, peripherals installed, their states, and so forth. The snapshot may include data available prior to the detection of an indicator, at the time of detection and following detection, facilitating evaluation of the condition and potential responses to it.