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Ananth Mohan, Waukesha US

Ananth Mohan, Waukesha, WI US

Patent application numberDescriptionPublished
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
20100130848METHODS AND APPARATUS FOR DETERMINING BRAIN CORTICAL THICKNESS - Methods and apparatus for determining brain cortical thickness. 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.05-27-2010
20110129129SYSTEM AND METHOD FOR INTEGRATED QUANTIFIABLE DETECTION, DIAGNOSIS AND MONITORING OF DISEASE USING POPULATION RELATED DATA FOR DETERMINING A DISEASE SIGNATURE - A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.06-02-2011
20110129130SYSTEM AND METHOD FOR INTEGRATED QUANTIFIABLE DETECTION, DIAGNOSIS AND MONITORING OF DISEASE USING POPULATION RELATED TIME TREND DATA - A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.06-02-2011
20110129131SYSTEM AND METHOD FOR INTEGRATED QUANTIFIABLE DETECTION, DIAGNOSIS AND MONITORING OF DISEASE USING POPULATION RELATED TIME TREND DATA AND DISEASE PROFILES - A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.06-02-2011

Patent applications by Ananth Mohan, Waukesha, WI US