General Electric Company

Ge Medical Systems Global Technology Company, LLC

Mohamed Ali Hamadeh

Ping Xue

Renuka Uppaluri

Vincent Stanley Polkus

Thomas Murray Leeds

Gopal Biligeri Avinash

John Michael Sabol

Kadri Nizar Jabri

Dun Alex Li

Andrew Litvin

Francois Serge Nicolas

Jianqing Yao

Lloyd W Ison

Sundar Swamy

Lisa Marie Last

Anil Issac

Renaud B Maloberti

Stephanie A Short

Daniel A Beaudet

Certain embodiments of the present invention provide for a system and method for assessing the accuracy of a surgical navigation system. The method may include acquiring an X-ray image that captures a surgical instrument. The method may also include segmenting the surgical instrument in the X-ray image. In an embodiment, the segmenting may be performed using edge detection or pattern recognition. The distance between the predicted location of the surgical instrument tip and the actual location of the surgical instrument tip may be computed. The distance between the predicted location of the surgical instrument tip and the actual location of the surgical instrument tip may be compared with a threshold value. If the distance between the predicted location of the surgical instrument tip and the actual location of the surgical instrument tip is greater than the threshold value, the user may be alerted.

System and method for accuracy verification for image based surgical navigation

Disclosed is an image acquisition workstation including a multiple examination mode. In the multiple examination mode, a user selects an anatomical view or procedure prior to acquiring data. When the image data is acquired, the acquired data is stored in a data structure related to the selected procedure or anatomical view. As the user selects a procedure or anatomical view prior to each data acquisition, the image acquisitions can be acquired in any order.

Method and apparatus for simultaneous acquisition of multiple examination data

Systems, methods and apparatus are provided through which in some embodiments an image acquisition station transmits images that have been identified as having inadequate diagnostic quality to a computer system of an image quality consultant. The image quality consultant may develop recommendations on how to improve the quality, and the recommendations are communicated to appropriate personnel.

Systems, methods and apparatus to distribute images for quality control

Provided is a method of image-guided navigation comprising determining a final navigated point in a three-dimensional reconstructed coordinate system based at least partially on two or more navigated points in a coordinate system associated with a two-dimensional array of image pixels and without specifying a coordinate of each of the two or more navigated points in a direction orthogonal to the two-dimensional array of image pixels, wherein each of the two or more navigated points is for a different position of a C-arm gantry. Also provided is an image-guided navigation system.

Image-guided navigation employing navigated point computation method and system

Certain embodiments of the present invention provide methods and systems for imaging system calibration using a field replaceable unit. Certain embodiments provide a field replaceable unit for imaging system calibration. The unit includes an array of radio opaque fiducials arranged for use in image calibration for an imaging system. The unit also includes a plurality of receivers positioned around a periphery of a detector in the imaging system for use in navigation calibration for the imaging system. The unit further includes a connection for providing data regarding image calibration and navigation calibration to a processor. Additionally, the unit includes a frame for positioning the array of radio opaque fiducials and the plurality of receivers embedded in a concave target with respect to a detector in the imaging system.

Systems and methods for integrating a navigation field replaceable unit into a fluoroscopy system

The present technique provides a variety of processing schemes for decomposing soft tissue and bone images more accurately from low and high-energy images acquired from an imaging system, such as a dual-energy digital radiography system using flat-panel technology. In particular, a parameter selection process is provided for automatically computing the decomposition parameters WS and WB to create soft tissue and bone images, respectively. The parameter selection process modifies a default decomposition parameter based on a variety of image and technique variables, such as intensity levels of the low and high-energy images, the patient size, and the collimator filtration setting. The parameter selection process avoids robustness problems associated with image-based algorithms, and the process may operate without any direct user interaction.

Automatic selection of the log-subtraction decomposition parameters for dual energy chest radiography

A technique for selectively processing data from a digital detector includes determining an image area produced by orientation of a radiation source assembly. The assembly may include a radiation source and a collimator, which may be separately orientable. The image area is computed based upon the orientation of the radiation source assembly that projects a radiation beam towards an imaging plane. Image data from a detector within the imaging plane is selectively processed to improve computational efficiency. The system may also determine whether the image area falls within the imaging surface of the detector and inform an operator or inhibit an exposure if such is not the case.

Image cropping of imaging data and method

A technique for selectively processing data from a digital detector includes determining an asymmetrical image area produced by orientation of a radiation source assembly. The assembly may include a radiation source and a collimator, which may be separately orientable. The image area is computed based upon the orientation of the radiation source assembly that projects a radiation beam towards an imaging plane. Image data from a detector within the imaging plane is selectively processed to improve computational efficiency. The system may also determine whether the image area falls within the imaging surface of the detector and inform an operator or inhibit an exposure if such is not the case.

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Waukesha, WI, United States of America

Mohamed Ali Hamadeh