Abstract:
A method and apparatus for using a flat panel detector to determine bone mineral density are provided. The apparatus includes a dual energy X-ray emitter, a flat panel detector for receiving X-rays sent from the X-ray emitter, and may optionally include an image corrector, adapted to emit corrected image information. The apparatus also includes a basis material decomposer that includes a calibration database, the decomposer being adapted to create a bone image and a soft tissue image. The apparatus further includes a bone mineral density calculator that is adapted to compute bone mineral density from the first image, and a display for displaying at least the computed bone mineral density. A method for using a flat panel detector to detect multiple disease states is also provided. The method includes emitting X-rays from a dual energy X-ray source through an area of a patient's body sought to be imaged and receiving X-rays with a flat panel detector. The method also includes generating multiple images, using dual energy X-ray absorptiometry, to detect for a first disease state and a second disease state and analyzing the images for the first and second disease states. The first disease state includes lung cancer, breast cancer, pneumonia, chronic obstructive pulmonary disease, tuberculosis, bone fracture or an abnormally sized or shaped organ and the second disease state comprises osteoporosis.
Abstract:
The present invention is a system and method of remotely monitoring patient health care characteristics. The system utilizes at least two micro-scale to millimeter-scale sensors, a wireless network, a central hub and pre-processing center and a means for notifying a clinician of the remote patient's condition. The system and method includes sensor to sensor coordination, modular-based sensors and processing, and allows a clinician to remotely configure the system.
Abstract:
Methods and systems for automatically generating a severity index for images of anatomical features of a patient are provided. In an exemplary embodiment, an image of an anatomical feature of a patient is compared with a normal, standardized image of the same anatomical feature. Based on this comparison, a deviation image for the anatomical feature is generated that represents the degree and manner the acquired image deviates from normal for that anatomical feature. The deviation image is automatically pattern matched against multiple images of known disease severity for the anatomical feature. Based on the automated pattern match, a known disease severity, such as in the form of a severity index, is provided as corresponding anatomical feature for the patient.
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:
Systems and methods are provided for optimizing visual consistency for a dataset of images by using observed and formulated display attributes. The formulated display attributes are derived from an analysis of a first set of images from the image repository. The formulated display attributes from the first set are combined with observer's display attributes to determine scaling factors. The optimized display attributes are then derived from the calculated scaling factors for a second set of images. In another aspect, a system and method is described where a digital image is processed in order to enhance viewing of the image on a display device in accordance to the optimized attributes associated with the observer.
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 systems for quantification of a selected attribute of an image volume are provided. The system is configured to receive an image dataset for a volume of interest, process the dataset for a selected attribute based at least on one of shape and texture to obtain a plurality of responses, and compute an index of an aggregate of a plurality of obtained responses.
Abstract:
A technique is described for enhancing three dimensional or volumetric image data, such as thick slice or slab data, or data for slices stacked in a third dimension orthogonal to an imaging plane. The technique processes the image data by reference to data parameters both in two dimensions and in three dimensions. The processing permits identification of structural pixels and their differentiation from non-structural pixels. The structural pixels may be identified by reference to gradients determined in three dimensions, but with directions determined by reference to only two dimensions. The structural and non-structural pixels may then be processed differently to provide an enhanced image.
Abstract:
A technique is disclosed for improving health care based upon genetic information. Genetic data, such as sequence data, hereditary data, and so forth, is accessed and relationships are identified with known health conditions and potential responses to the conditions. The compiled data is stored in a knowledge base for reference as conditions develop with individual patients.
Abstract:
A technique is provided for rendering personalized health case based upon genetic and other data. Patient data is obtained for individual patients. A knowledge base is consulted that includes genetic information for the patient or for known populations, along with indications of conditions that may be related to the genetic information, and potential responses to the conditions. Additional medical data may also be included to complement the genetic information. An output is generated that may include one or more of the responses contained in the knowledge base, such as for testing, treatment, monitoring, and so forth, of the condition.