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Gopal B. Avinash, Menomonee Falls US

Gopal B. Avinash, Menomonee Falls, WI US

Patent application numberDescriptionPublished
20090279752DETERMINING HAZARD OF AN ANEURYSM BY CHANGE DETERMINATION - Systems, methods and apparatus are provided through which in some implementations changes in an aneurysm in a patient over time are identified by determining temporal differences between segmented aneurysms in a plurality of longitudinal exams and visually presenting the temporal differences.11-12-2009
20090279759METHOD AND APPARATUS FOR VIRTUAL SUBTRACTION OF STOOL FROM REGISTRATION AND SHAPE BASED ANALYSIS OF PRONE AND SUPINE SCANS OF THE COLON - Certain embodiments of the present invention provide a system and method for identifying stool particles in virtual dissection data for a colon. A shape classification may be determined for a segmented colon by three-dimensional filtering of a prone data set and a supine data set. The shape classification may be mapped onto a prone virtual dissection image and a supine virtual dissection image. The prone data set and the supine data set may be registered using one-dimensional registration to determine a registration. Shapes may be localized based on the shape classification and the registration for the prone virtual dissection and the supine virtual dissection. A distance metric may be applied to the localized shapes to identify stool particles. The identified stool particles may be suppressed. A prone virtual dissected image and a supine virtual dissected image may be displayed having the stool particles suppressed.11-12-2009
20090281423DETERMINING MECHANICAL FORCE ON ANEURYSMS FROM A FLUID DYNAMIC MODEL DRIVEN BY VESSEL BLOOD FLOW INFORMATION - Systems, methods and apparatus are provided through which in some implementations changes in an aneurysm in a patient over time are identified by determining temporal differences between segmented aneurysms in a plurality of longitudinal exams and visually presenting the temporal differences.11-12-2009
20090290772Medical Data Processing and Visualization Technique - A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing patient image and non-image deviation scores derived through respective comparisons of patient image and non-image data to standardized image and non-image data. The method may also include processing the image and non-image deviation scores to generate a visual output indicative of differences between the patient image and non-image data, and the standardized image and non-image data, respectively. Further, the method may include displaying the visual output. Additional methods, systems, and manufactures are also disclosed.11-26-2009
20090292478System and Method for Analysis of Multiple Diseases and Severities - A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing reference deviation maps for a plurality of disease types. The reference deviation maps may include subsets of maps associated with severity levels of respective disease types, and a disease severity score may be associated with each severity level. The method may include selecting patient severity levels for multiple disease types based on the subsets of reference deviation maps. Also, the method may include automatically calculating a combined patient disease severity score based at least in part on the disease severity scores associated with the selected patient severity levels, and may include outputting a report based at least in part on the combined patient disease severity score. Additional methods, systems, and manufactures are also disclosed.11-26-2009
20090292551System and Method for Mapping Structural and Functional Deviations in an Anatomical Region - A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing individual patient deviation maps indicative of a structural difference and a functional difference, respectively, of at least one anatomical region of a patient with respect to standardized reference image data. The method may also include generating a composite patient deviation map indicative of both the structural difference and the functional difference based on at least the individual patient deviation maps, and outputting the composite patient deviation map. Additional methods, systems, and manufactures are also disclosed.11-26-2009
20090292557System and Method for Disease Diagnosis from Patient Structural Deviation Data - A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing patient deviation data of a structural difference between a patient anatomical feature and a standardized anatomical feature. The method may also include comparing the patient deviation data to reference deviation data sets representative of multiple disease types. Each reference deviation data set may be representative of an expected deviation from the standardized anatomical feature for a particular disease type. The method may further include automatically identifying one or more potential patient disease types based at least in part on the comparison. Additional methods, systems, and manufactures are also disclosed.11-26-2009
20100082506Active Electronic Medical Record Based Support System Using Learning Machines - A data processing technique is provided. In one embodiment, a computer-implemented method includes receiving image data from an imaging system and organizing the image data into multiple objects of interest. The method may also include identifying source-invariant features of the multiple objects of interest and classifying the multiple objects of interest via a learning algorithm into categories based, at least in part, on the identified source-invariant features. Further, the method may include outputting a report based at least in part on data derived from the classification of one or more of the multiple objects of interest. Additional methods, systems, and devices are also disclosed.04-01-2010
20100322488APPARATUS AND METHOD FOR ISOLATING A REGION IN AN IMAGE - A system, method, and apparatus includes a computer readable storage medium with a computer program stored thereon having instructions that cause a computer to access a first anatomical image data set of an imaging subject acquired via a morphological imaging modality, access a functional image data set of the imaging subject acquired via a functional imaging modality, register the first anatomical image data set to the functional image data set, segment the functional image data set based on the functional image data set, define a binary mask based on the segmented functional image data set, and apply the binary mask to the first anatomical image data set to construct a second anatomical image data set and an image based thereon. The second anatomical image data set is substantially free of image data of the first anatomical image data set correlating to an area outside the region of physiological activity.12-23-2010

Patent applications by Gopal B. Avinash, Menomonee Falls, WI US