Abstract: A phantom for use in quality control measurement of a fully integrated magnetic resonance/PET scanner is disclosed. The phantom features radiation activity distributed throughout an electrically conductive binder. Suitably, the binder is elastomeric and includes carbon fibers distributed throughout it to set the conductivity of the phantom to a desired level. The phantom is applicable to various multimodality integrated medical imaging systems such as MR/SPECT and MR/CT in addition to MR/PET.

Abstract: A medical imaging device user interface system includes an acquisition processor for automatically acquiring subunit state data representing operational state of multiple individual subunits of a medical imaging system. At least one repository of state information identifies, next operational system states accessible from a current operational state, actions needed to transition from a current operational state to a next individual operational state and operational system states inaccessible from a current operational state. An operational state processor uses the acquired subunit state data and the state information for, identifying a current operational state of a medical imaging system, determining operational system states accessible from the identified current operational state and actions needed to transition from the identified current operational state to a next individual operational state and identifying operational system states inaccessible from a current operational state.

Abstract: A volume is scanned with ultrasound for determining perfusion. A volume is scanned with a more rapid technique for tracking a sub-volume, and the tracked sub-volume is scanned for contrast agent detection with a less rapid technique. For example, a single pulse technique or B-mode scanning is used to track a region over one or more cycles, the location of the tracked region is predicted, and multiple pulse contrast agent detection is performed for the sub-volume at the predicted location. The combinations of scanning provide for real-time or higher temporal resolution reperfusion information at the appropriate tissue. Using a separate scan for motion tracking may provide a more robust prediction of the sub-volume location and a better visualization of the results (e.g., orientation within the organ). In other embodiments, tracking is based on a B mode image derived from the multi-pulse data.

Abstract: A system for providing automatic diagnosis and decision support includes: a medical image database; generative learning and modeling modules that build distributional appearance models and spatial relational models of organs or structures using images from the medical image database; a statistical whole-body atlas that includes one or more distributional appearance models and spatial relational models of organs or structure, in one or more whole-body imaging modalities, built by the generative learning and modeling modules; and discriminative learning and modeling modules that build two-class or multi-class classifiers for performing at least one of organ, structure or disease detection or segmentation.

Abstract: The present invention provides methods and compositions for predicting patient responses to cancer treatment using hypoxia gene signatures. These methods can comprise measuring in a biological sample from a patient the levels of gene expression of a group of the genes designated herein. The present invention also provides for microarrays that can detect expression from a group of genes.

Abstract: A system and method for rendering a binary volume in a GPU are provided. The method for rendering a binary volume comprises: storing eight bits of the binary volume along an x-axis in a byte of memory to form a compact representation of the binary volume; generating a two-dimensional decoding table of the compact representation of the binary volume; extracting a byte including a bit of interest from the compact representation of the binary volume; determining a bit coordinate for the bit of interest and extracting a decoded value of the bit of interest from the two-dimensional decoding table; obtaining a gray value of the decoded value of the bit of interest and classifying the gray value; and multiplying the decoded value of the bit of interest by the gray value to form a resultant value.

Abstract: A method for combining at image data sets to generate a composite image. The method divides each of the data sets into a plurality of bricks along three mutually orthogonal axes. The method includes (a) building a hierarchical structure for each one of the at least two data sets, each structure comprising higher level blocks of voxels and lower level blocks of voxels, the higher level blocks having a larger number of voxels than the lower level blocks; (b) expanding boundaries of each one of the structures into corresponding expanded hierarchical structures, such boundary expanding comprising adding additional virtual processing bricks to the initial processing bricks, such virtual processing bricks comprising semi-unbounded blocks to provide the expanded boundaries of the expanded hierarchical structures; and (c) rendering each one of the bricks in each one of the expanded hierarchical structures into a two dimension image.

Abstract: A method for detecting a substantially cylindrical internal structures and dark structures surrounded by bright intensity values (contrast) in a medical image includes acquiring a medical image. A gradient of the medical image is calculated. Local shape index information for the calculated gradient of the medical image is calculated. Gradient information having a local shape index not indicative of a ridge and rut shapes is removed. Diverging gradient field responses (DGFR) are calculated based on the remaining gradient information. The DGFR responses and relative amount of DGFR responses for the rut and ridge areas is used as a discriminative feature in detecting the substantially cylindrical internal structure as well as darker occluding structures within cylindrical structures such as Pulmonary Emboli.

Abstract: A method for training classifiers for Computer-Aided Detection in medical images includes providing an image feature training set {(xi, yi)}i=1l, wherein xi?Rd are input feature variables and yi?{?1,1} are class labels, and a cascade of K classifiers to be trained, minimizing, for each classifier k, a first cost function to initialize an ?k0 associated with each classifier k, fixing all classifiers except classifier k and minimizing a second cost function to solve for ?kc for a counter value c using the training dataset {(xik, yi)}i=1l, calculating a third cost function Jc(?lc, . . . , ?Kc) for each classifier k, and comparing Jc with a previous iteration Jc?1, wherein if Jc?Jc?1 is less than a predetermined tolerance, said classifier training is completed.

Abstract: A system automatically establishes context information (e.g., determining changes to user interface workflows, screens, menus, and access requirements for devices such as monitors, ventilators, and diagnostic equipment) used by a worker in using healthcare information applications based on patient geographic location (e.g., a room or bed or department). The system addresses the need for a user to sign onto a system with each location change and manually change context information which consumes computer, server and network resources and represent a potential security problem. A healthcare system selects information to be provided to a user in response to received location dependent context data. The system includes a proximity detector for wirelessly detecting presence of an identification tag substantially within a predetermined vicinity of the detector. The identification tag is associated with at least one of, (a) a particular processing device and (b) a particular person.

Abstract: A system processes an MR dataset to provide an MR signal generated by a group of protons having substantially the same proton spin precession angle. The system includes a computation processor for determining phase angles of RF pulses for use in acquiring MR signal data of a desired coherence pathway in response to, predetermined data indicating a number of coherence pathways in multiple MR datasets to be acquired, predetermined information indicating different types of MR signals present in the multiple MR datasets to be acquired and at least one phase equation selected in response to a corresponding at least one type of the types of MR signals present in the MR datasets to be acquired. The number of coherence pathways represents a corresponding number of groups of protons having substantially the same proton spin precession angle. An RF signal generator generates RF pulses for acquiring multiple MR datasets including MR signal data of the desired coherence pathway using the determined phase angles.

Abstract: A medical image data processing system automatically selects images showing an anatomically invasive instrument having a pair of instrument identification marker objects. An image data processor automatically, identifies one or more candidate image objects potentially representing invasive instrument marker objects in multiple images in a sequence of acquired images in response to predetermined size and shape data of marker objects. The image data processor identifies pairs of the identified candidate image objects potentially indicating an invasive instrument, in response to predetermined data associated with relative location of individual marker objects of a pair of identification marker objects of an invasive instrument. The image data processor selects in the multiple images, at least one of the identified pairs of identified candidate image objects in response to predetermined criteria and selects images of the multiple images associated with a selected pair of identified candidate image objects.

Abstract: A system and method for rendering images, and performing operations such as windowing and leveling, when the parameters of a client appliance are known and rendering images when the parameters of a client appliance are unknown. The invention also considers the rendering from the client appliance perspective and the server appliance perspective.

Abstract: The present invention provides a system and method for a system for accommodating a solid target in an accelerator. The system and method includes a target changer having at least one port for accommodating the solid target, an insert for receiving the solid target in the target changer, a piston for providing a vacuum and a cooling system for the solid target, a cylinder for displacing the piston in one of three positions; and a bracket for securing the insert, piston and cylinder to the target changer.

Abstract: Disclosed is a method and system for propagating information about an image to segment a target structure. An input to denote a region of interest of the image containing the target structure is received. A first seed is set outside of the target structure and a second seed is set inside the target structure. A first partial differential equation (PDE) associated with the first seed is solved and a second PDE associated with the second seed is solved to segment the image.

Abstract: A representative positron emission tomography (PET) calibration system includes a PET scanner having a ring detector, a phantom that is placed at approximately the center of the ring detector, and a time alignment calibration manager that is coupled to the PET scanner. The time alignment calibration manager detects coincidence events from the phantom, calculates position of time of flight events from the ring detector based on the detected coincidence events, and calculates time offsets for the ring detector using a mean value calculation based on the calculated position of the time of flight events.

Abstract: A method for extracting a local center-axis representation of a vessel, includes: placing first and second seed points in an image that includes the vessel, wherein the first and second seed points are placed near a beginning and an end of a centerline of the vessel; representing the image as a discrete graph having nodes and edges, wherein the first seed point is a source node and the second seed point is a goal node; and finding a minimum-cost path between the first and second seed points by computing a cost of edges between the first and second seed points, wherein the cost of each edge is reciprocal to a vesselness measure of the edge.

Abstract: A system provides a high quality, and intuitive multi-band filter that adapts when noise frequencies or noise amplitudes change. A system for adaptively filtering patient monitoring signals, comprises a filter controller for adaptively determining the number of, and individual filter bandwidth of, multiple adaptive signal filters to be used in filtering multiple bandwidths within an encompassing signal filtering bandwidth. The filter controller does this in response to, (a) noise data indicating noise source frequencies and (b) configuration data determining medical signal or noise source characteristics, to provide programming data for programming a plurality of adaptive signal filters. The system includes multiple adaptive signal filters individually having a filtering bandwidth and filtering characteristic programmable in response to received programming data. A noise detector automatically identifies a noise component in a received patient monitoring signal and generates the noise data.

Abstract: Methods and systems for automatic optimization in spectral Doppler ultrasound imaging are provided. The value for one or more spectral Doppler parameter is optimized using numerical optimization rather than predefined sampling. Various spectral Doppler parameters are set, such as a position of the gate, gate size, transmit frequency, filter settings, Doppler gain, beamline orientation or angle of intersection between the gate position and the scan line, aperture size, or other spectral Doppler transmit or receive parameters effecting the spectral Doppler imaging. A processor automatically calculates a setting or value for one or more of the spectral Doppler parameters, resulting in more objective optimization than provided by a user setting.

Abstract: A method for creating a cutout surface for volume rendering includes providing a digitized medical image volume comprising a plurality of intensities corresponding to a 3-dimensional grid of points, identifying a surface of interest in said image volume, representing said surface-of-interest by a polygonal mesh, extracting a set of curves on said surface-of-interest where a cutout surface will intersect, extending a vector defined on one of said curves toward a viewing point, and sweeping said extended vector along said curve to create said cutout surface.