Abstract:
A system and method for hybrid tracking in surgical navigation is disclosed. A plurality of tracking technologies is used in a medical procedure where a reconciler determines an active tracking technology. The reconciler determines the active tracking technology during the medical procedure. A switch may then activate one or more tracking technologies. The determination of which technology or technologies are to be activated may be based, for example, on metrics measured by each of the technologies, such as an accuracy measurement. In addition, a display may present representations based on at least data obtained by one or more of the tracking technologies. The switch may employ weighted switching to gradually switch the display of a first representation corresponding to a first tracking technology to the display of a second representation corresponding to a second tracking technology, where the first technology is deactivated and the second technology is activated.
Abstract:
A method of adaptively reducing noise within an x-ray image includes receiving raw data (R) representing a detected x-ray signal from an object. A counts-based modulation mask (Mcb) is generated in response to the raw data (R). In one embodiment, a structure dependent noise filtered image (Iblended) is generated in response to the raw data. A noise-reduced image (IF) is generated in response to the counts-based modulation mask (Mcb) and the structure dependent noise filtered image (Iblended). In another embodiment, a structure gradient mask (Mcs) is generated in response to the raw data (R). The noise-reduced image (IF) is generated in response to the counts-based modulation mask (Mcb) and the structure gradient mask (Mcs).
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 method of creating and displaying images resulting from digital tomosynthesis performed on a subject using a flat panel detector is disclosed. The method includes the step of acquiring a series of x-ray images of the subject, where each x-ray image is acquired at different angles relative to the subject. The method also includes the steps of applying a first set of corrective measures to the series of images, reconstructing the series of images into a series of slices through the subject, and applying a second set of corrective measures to the slices. The method further includes the step of displaying the images or slices according to at least one of a plurality of display options.
Abstract:
Methods and apparatus for determining brain cortical thickness are provided. 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.
Abstract:
A method is provided for segmenting three-dimensional (3D) image volumes. The method includes obtaining a 3D volume data set corresponding to an imaged volume, rendering at least a portion of the 3D volume data set based on 3D rendering settings, and creating a two-dimensional (2D) segmentation of the rendered 3D volume data set. The method further includes segmenting the 3D volume data set using the 2D segmentation and the 3D rendering settings to define a 3D region of interest within the 3D volume data set.
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 image intensities on the 3D mesh, and navigating the 3D image based on a manual input received from a user indicated on the rendered 3D image.
Abstract:
A method is provided for segmenting three-dimensional (3D) image volumes. The method includes obtaining a 3D volume data set corresponding to an imaged volume, rendering at least a portion of the 3D volume data set based on 3D rendering settings, and creating a two-dimensional (2D) segmentation of the rendered 3D volume data set. The method further includes segmenting the 3D volume data set using the 2D segmentation and the 3D rendering settings to define a 3D region of interest within the 3D volume data set.
Abstract:
Certain examples provide systems and methods for holistic viewing to provide comparative analysis and decision support in a drug development process, and safety testing. An example method includes providing a first set of data corresponding to a drug of interest; providing a reference set of drug interaction data, comparing the first set of data to the reference set using a holistic analysis, and reporting the results of the comparison. An example of the holistic analysis and viewing apparatus for drug safety comprises a standardizer to at least one of standardize and normalize drug interaction data related to drug safety; a deviation analyzer to compare the drug interaction data to data corresponding to a drug under review using a holistic analysis, and a reporter for reporting the output of the deviation analyzer.
Abstract:
Certain examples provide systems and methods for holistic viewing to provide comparative analysis and decision support in a drug development process. An example method includes a computer-implemented method for assessing drug efficacy, comprising: accessing a first data set related to the performance of a target drug for a given indication; accessing a second data set related to a control for the indication; comparing the data for the target drug and the data for the control on at least one of a plurality of different metrics using a holistic analysis, wherein the at least one metric corresponds to an outcome associated with the indication and generating a corresponding report. An example apparatus/system includes a holistic analysis and viewing system to support the assessment of drug efficacy, said system comprising: a standardizer to at least one of standardize and normalize data related to drug development; a deviation analyzer to analyze said data based on at least one of a plurality of different efficacy metrics, wherein a quantified variation between a first data set of results corresponding to an identified target drug and a second data set of results corresponding to a control, wherein said first data set of results is provided for comparison with the second data set of results and the deviation therebetween is compared to the at least one efficacy metric.