General Electric Company

Tamanna Nanavaty Bembenek

Saad Ahmed Sirohey

Gopal Biligeri Avinash

Paul Edgar Licato

Zhongmin Steve Lin

Ananth P Mohan

Fausto J Espinal

Max Wintermark

Jérôme Francois Knoplioch

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.

Determining mechanical force on aneurysms from a fluid dynamic model driven by vessel blood flow information

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.

System and method for analysis of multiple diseases and severities

Methods and apparatus for detecting aneurysm in vasculatures are provided. The method includes removing bone structures from three-dimensional (3D) computed tomography (CT) angiography image data and extracting spherical shapes from the bone removed 3D CT angiography image data. The method further includes displaying the extracted spherical shapes on an image of the 3D CT angiography image data.

Methods and apparatus for detecting aneurysm in vasculatures

A method for enhancing images of an object includes registering a fixed image with cine images of the same object. Next, the fixed image and the cine images are transformed into frequency space representations thereof. A central portion of the frequency space cine images are merged with a peripheral portion of frequency space fixed image using a defined normalized response curve or a predefined normalized response curve (or both) to form a merged image. Finally, the method includes inversely transforming the merged image into enhanced cine images of the object.

Methods and apparatus for reducing noise in images

Determining hazard of an aneurysm by change determination

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.

System and method for disease diagnosis from patient structural deviation data

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.

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Milwaukee, WI, United States of America

Tamanna Nanavaty Bembenek