Abstract:
The present invention is directed to a method and apparatus for fusing or combining functional image data and anatomical image data. The invention, which may be carried out through user interaction or automatically, enables composite and clinically valuable images to be generated that display functional and anatomical data acquired with different imaging systems. By identifying fiducial markers on a functional data image and correlating the fiducial markers with anatomical markers or indicia on the anatomical data image, the respective images may be aligned with one another before a composite image is generated.
Abstract:
A computer-aided detection system for evaluating tissue based on a series of timed images acquired both before and after a contrast agent is administered performs a temporal analysis of the tissue and then a spatial analysis in which the tissue is categorized. After the temporal and spatial analysis is performed, the results can be displayed. The displayed results can include both tissue characterization results, underlying curves used to determine the characterization, and confidence data regarding how good the characterization is expected to be. The confidence data can be provided, for example, by using variations in color schemes, displaying numerical confidence levels, or providing graphical features such as piecewise linear models.
Abstract:
A system and method for selecting a computer algorithm for processing a medical image for a clinical purpose is enclosed. The method includes accessing image data, accessing clinical data, and accessing a structured knowledgebase. An optimal computer algorithm is selected with associated optimal operating parameters from a plurality of computer algorithms. The optimal computer algorithm may be selected based on the image data, the clinical data, and the structured knowledgebase information. The image data may be processed with the optimal computer algorithm. The structured knowledgebase may comprise a finite set of algorithms that span the possible algorithms for the clinical purpose. The image data may include meta data and anatomical information. The meta data may include modality information and image acquisition information. The computer algorithms may include computer algorithms for executing computer aided detection. The computer algorithms may also include computer algorithms for executing volume computer assisted reading.
Abstract:
A method of evaluating tissue of an organ includes accessing image data and processing the image data to quantify at least one feature of interest in the tissue. The image data is derived from a computed tomography acquisition system and includes multiple phases of acquired whole organ data. Each phase is acquired within five gantry rotations of the acquisition system using an acquisition protocol.
Abstract:
An informatics system permits data entities from a wide range of data sources to be accessed and evaluated. The sources of the data entities may be simply data sources, such as for articles and other non-patient or population specific information, as well as controllable and prescribable sources, such diagnostic imaging, clinical and other sources forming part of the patient care path. The entities are organized, analyzed in accordance with a domain framework, which may be altered by a user to focus on factors and informational components of interest. Holistic and integrated understanding of such factors are there fore available, and refinement of healthcare processes can be made to provide improved care in a more time and cost effective manner.
Abstract:
The presently described technology provides a tomosynthesis imaging system that comprises an x-ray tube and an anti-scatter grid. The x-ray tube is configured to emit x-rays from a plurality of positions during movement of the x-ray tube along a long axis of a mobile patient surface. The anti-scatter grid is configured to filter out scattered x-rays and includes a grid line parallel to the long axis of the mobile patient surface. The x-rays emitted from the plurality of positions are reconstructed into at least one image of at least one plane of a patient anatomy. The described technology is useful in emergency or trauma applications where a patient may be quickly and easily moved on a mobile patient surface to a position near an x-ray detector used in combination with the x-ray tube and anti-scatter grid.
Abstract:
Systems, methods and apparatus are provided through which collimation edges in an X-ray image are located from information in the X-ray image.
Abstract:
A technique is disclosed for analyzing data entities of interest, including text, image, waveform, audio, video and other types of data. The data entities are accessed and identified in accordance with a domain definition and attributes contained in the entities. The attributes may be user-defined, as may the domain definition. The entities are classified in a one-to-many classification according to the domain definition. User-viewable representations are generated that present analysis of the entities, such as identifying similarities and distinctions between them based upon their attributes and the domain definition.
Abstract:
A method for obtaining data including scanning an object using a multi-energy computed tomography (MECT) system to obtain data to generate an anatomical image, and decomposing the obtained data to generate a first density image representative of bone material and a second density image representative of soft-tissue. The method further includes segmenting at least one of the first density image and the second density image, and volume rendering the second density image.
Abstract:
Certain embodiments of the present invention provide a system and method for displaying a set of data with a virtually dissected anatomical structure. In an embodiment, the anatomical structure is a colon and various attributes of the colonic lumen are assigned a color. In an embodiment, a virtual dissection of the colon is created by mapping a three-dimensional data set to a two dimensional data set. A plurality of display index values are computed which correspond to the three-dimensional data set. Various colors are assigned to specific display index values. The three-dimensional display index values are mapped to a two-dimensional set of display index values. As directed by a user, various color cues may be displayed with the virtually dissected lumen to provide color highlights to various aspects of the colon, such as highlighting shape, fluid, or fecal presence.