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1471 results about "Diagnostic Radiology Modality" patented technology

Modality (diagnosis), a method of diagnosis. Modality (medical imaging), a type of equipment used to acquire structural or functional images of the body, such as radiography, ultrasound, nuclear medicine, computed tomography, magnetic resonance imaging and visible light.

High frequency thermal ablation of cancerous tumors and functional targets with image data assistance

This invention relates to the destruction of pathological volumes or target structures such as cancerous tumors or aberrant functional target tissue volumes by direct thermal destruction. In the case of a tumor, the destruction is implemented in one embodiment of the invention by percutaneous insertion of one or more radiofrequency probes into the tumor and raising the temperature of the tumor volume by connection of these probes to a radiofrequency generator outside of the body so that the isotherm of tissue destruction enshrouds the tumor. The ablation isotherm may be predetermined and graded by proper choice of electrode geometry and radiofrequency (rf) power applied to the electrode with or without temperature monitoring of the ablation process. Preplanning of the rf electrode insertion can be done by imaging of the tumor by various imaging modalities and selecting the appropriate electrode tip size and temperature to satisfactorily destroy the tumor volume. Computation of the correct three-dimensional position of the electrode may be done as part of the method, and the planning and control of the process may be done using graphic displays of the imaging data and the rf ablation parameters. Specific electrode geometries with adjustable tip lengths are included in the invention to optimize the electrodes to the predetermined image tumor size.
Owner:COVIDIEN AG

Automatic mask design and registration and feature detection for computer-aided skin analysis

ActiveUS20090196475A1Avoiding skin regions not useful or amenableCharacter and pattern recognitionDiagnostic recording/measuringDiagnostic Radiology ModalityNose
Methods and systems for automatically generating a mask delineating a region of interest (ROI) within an image containing skin are disclosed. The image may be of an anatomical area containing skin, such as the face, neck, chest, shoulders, arms or hands, among others, or may be of portions of such areas, such as the cheek, forehead, or nose, among others. The mask that is generated is based on the locations of anatomical features or landmarks in the image, such as the eyes, nose, eyebrows and lips, which can vary from subject to subject and image to image. As such, masks can be adapted to individual subjects and to different images of the same subjects, while delineating anatomically standardized ROIs, thereby facilitating standardized, reproducible skin analysis over multiple subjects and/or over multiple images of each subject. Moreover, the masks can be limited to skin regions that include uniformly illuminated portions of skin while excluding skin regions in shadow or hot-spot areas that would otherwise provide erroneous feature analysis results. Methods and systems are also disclosed for automatically registering a skin mask delineating a skin ROI in a first image captured in one imaging modality (e.g., standard white light, UV light, polarized light, multi-spectral absorption or fluorescence imaging, etc.) onto a second image of the ROI captured in the same or another imaging modality. Such registration can be done using linear as well as non-linear spatial transformation techniques.
Owner:CANFIELD SCI

Image modification and detection using massive training artificial neural networks (MTANN)

A method, system, and computer program product for modifying an appearance of an anatomical structure in a medical image, e.g., rib suppression in a chest radiograph. The method includes: acquiring, using a first imaging modality, a first medical image that includes the anatomical structure; applying the first medical image to a trained image processing device to obtain a second medical image, corresponding to the first medical image, in which the appearance of the anatomical structure is modified; and outputting the second medical image. Further, the image processing device is trained using plural teacher images obtained from a second imaging modality that is different from the first imaging modality. In one embodiment, the method also includes processing the first medical image to obtain plural processed images, wherein each of the plural processed images has a corresponding image resolution; applying the plural processed images to respective multi-training artificial neural networks (MTANNs) to obtain plural output images, wherein each MTANN is trained to detect the anatomical structure at one of the corresponding image resolutions; and combining the plural output images to obtain a second medical image in which the appearance of the anatomical structure is enhanced.
Owner:UNIVERSITY OF CHICAGO

Representation, decision models, and user interface for encoding managing preferences, and performing automated decision making about the timing and modalities of interpersonal communications

InactiveUS7330895B1Increase and decrease likelihoodIncreasing and decreasing effectInterconnection arrangementsSpecial service for subscribersPersonalizationDiagnostic Radiology Modality
The present invention relates to a system and methodology providing a user interface that can be employed by contactors and contactees in conjunction with a communications architecture for identifying and establishing an optimal communication based on preferences, capabilities, contexts and goals of the parties to engage in the communication. The user interface can include a graphical display having a plurality of display objects and associated input fields operable by one or more parties to a communication in order to facilitate convenient access, control, personalization and communications via the communications architecture. For example, configuration capabilities are provided in the user interface to enable operational adjustments to one or more operating parameters, communications groupings, policies and/or context preferences relating to a preferred modality of communication and to potential parties of communication between the contactors and contactees. User interface controls are also provided for defining deterministic policies and for encoding preferences for cost-benefit analyses.
Owner:MICROSOFT TECH LICENSING LLC

Medical devices having a temporary radiopaque coating

A medical device comprising radiopaque water-dispersible metallic nanoparticles, wherein the nanoparticles are released from the medical device upon implantation of the device. The medical device of the present invention is sufficiently radiopaque for x-ray visualization during implantation, but loses its radiopacity after implantation to allow for subsequent visualization using more sensitive imaging modalities such as CT or MRI.
The nanoparticles are formed of a metallic material and have surface modifications that impart water-dispersibility to the nanoparticles. The nanoparticles may be any of the various types of radiopaque water-dispersible metallic nanoparticles that are known in the art. The nanoparticles may be adapted to facilitate clearance through renal filtration or biliary excretion. The nanoparticles may be adapted to reduce tissue accumulation and have reduced toxicity in the human body. The nanoparticles may be applied directly onto the medical device, e.g., as a coating, or be carried on the surface of or within a carrier coating on the medical device, or be dispersed within the pores of a porous layer or porous surface on the medical device. The medical device itself may be biodegradable and may have the nanoparticles embedded within the medical device itself or applied as or within a coating on the biodegradable medical device. The nanoparticles may be released by diffusion through the carrier coating, disruption of hydrogen bonds between the nanoparticles and the carrier coating, degradation of the nanoparticle coating, degradation of the carrier coating, diffusion of the nanoparticles from the medical device, or degradation of the medical device carrying the nanoparticles.
Owner:BOSTON SCI SCIMED INC

Image modification and detection using massive training artificial neural networks (MTANN)

A method, system, and computer program product for modifying an appearance of an anatomical structure in a medical image, e.g., rib suppression in a chest radiograph. The method includes: acquiring, using a first imaging modality, a first medical image that includes the anatomical structure; applying the first medical image to a trained image processing device to obtain a second medical image, corresponding to the first medical image, in which the appearance of the anatomical structure is modified; and outputting the second medical image. Further, the image processing device is trained using plural teacher images obtained from a second imaging modality that is different from the first imaging modality. In one embodiment, the method also includes processing the first medical image to obtain plural processed images, wherein each of the plural processed images has a corresponding image resolution; applying the plural processed images to respective multi-training artificial neural networks (MTANNs) to obtain plural output images, wherein each MTANN is trained to detect the anatomical structure at one of the corresponding image resolutions; and combining the plural output images to obtain a second medical image in which the appearance of the anatomical structure is enhanced.
Owner:UNIVERSITY OF CHICAGO
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