General Electric Company

London Health Sciences Centre

Sukhdeep Gill

Prakash Mahesh

Christopher Janicki

Shou Li

Murali Kumaran Kariathungal

Medhi Venon

Ismail Ben Ayed

Kumaradevan Punithakumar

Dave Roeder

Gregory Garvin

David William Roeder

Methods and apparatus are disclosed to automatically detect vertebrae boundaries in a spine image. A method to detect a vertebra in a spine image is described, the method comprising generating a rectangle approximation of a reference vertebra. The method also including identifying a mask similar to the rectangle approximation and labeling a mask region in the mask. The method also including comparing the mask region to the rectangle approximation and detecting a vertebra in the spine image based on the comparison.

Automatic detection of vertebrae boundaries in spine images

Certain embodiments of the present invention provide systems and methods for detecting septal defects. In an embodiment, the method may include acquiring gated MRI data and heart atlas data. A registration of the gated MRI data and the heart atlas data may be performed as well as a flow-balance measurement. An atrial septal detection and ventricular septal detection may be performed, as well as a septal measurement. A diagnostic report may be generated detailing the location and properties of the septal defects. A physician may utilize the diagnostic report for surgery planning. After surgery, the diagnostic report may be compared with a post-surgery diagnostic report to determine the success of the surgery.

System and method for computer aided septal defect diagnosis and surgery framework

Certain embodiments of the present invention provide systems and methods for mobile access to clinical information. Certain embodiments provide a mobile medical computing device system. The system includes a mobile medical computing device providing for display of, interaction with, and manipulation of medical images and patient data, the mobile medical computing device in communication with a clinical information system to exchange clinical content related to the medical images and patient data.

Mobile medical device image and series navigation

Certain embodiments of the present invention provide methods and systems for triple region image segmentation. Certain embodiments provide a method for triple region image segmentation on a picture archiving and communication system. The method includes forming an initial contour for an image including three regions using principal component analysis and a support vector machine. The method also includes segmenting the image into three regions using a single level set function based on the initial contour. Certain embodiments provide an image processing system facilitating triple region segmentation of an image. The system includes a pattern classifier including a support vector machine, the pattern classifier forming an initial contour for an image including three regions using principal component analysis and the support vector machine. The system also includes a triple region segmenter segmenting the image into three regions using a single level set function based on the initial contour.

Machine learning based triple region segmentation framework using level set on PACS

Certain embodiments of the present invention provide a system for clinical review of a patient comprising: a plurality medical studies relating to a medical history of the patient, each of said plurality of medical studies comprising a representation; a user interface for permitting a user to interact with said representations; a chronology of said representations displayable through said user interface, wherein each of said representations is selectable by said user to form a selected chronological medical study; and a plurality of relevant representations displayable through said user interface, said plurality of relevant representations automatically generated based at least in part on said selected chronological medical study and at least one relevance criterion, wherein each of said plurality of relevant representations is selectable to form a selected relevant medical study. In an embodiment, the system further comprises at least one thumbnail image displayed in said user interface, said at least one thumbnail image corresponding to a series of images in said selected relevant medical study, wherein said at least one thumbnail image is selectable to display said series of images in said selected relevant medical study.

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London, Canada

Sukhdeep Gill