Abstract: A system and method for identifying errors while tracking instrument navigations is enclosed. The method may include assigning a plurality of virtual points to a plurality of sensors. At least one of the virtual points may be a non-fixed virtual point. The assignment of virtual points to sensors may be determined based on the medical instrument, or the medical instrument attachment, being used. Virtual point locations may be determined for the non-fixed virtual point. The locations of the non-fixed virtual point may be determined based on the medical instrument, or the medical instrument attachment, being used. The vector values for vectors terminating at the non-fixed virtual point may be adjusted. The field integrity values for the virtual points may be computed. If a field integrity value is greater than a threshold value, an error signal may be communicated.

Abstract: Certain embodiments of the present invention provide for a system and method for modeling S-distortion in an image intensifier. In an embodiment, the method may include identifying a reference coordinate on an input screen of the image intensifier. The method also includes computing a set of charged particle velocity vectors. The method also includes computing a set of magnetic field vectors. The method also includes computing the force exerted on the charged particle in an image intensifier. Certain embodiments of the present invention include an iterative method for calibrating an image acquisition system with an analytic S-distortion model. In an embodiment, the method may include comparing the difference between the measured fiducial shadow positions and the model fiducial positions with a threshold value. If the difference is less than the threshold value, the optical distortion parameters are used for linearizing the set of acquired images.

Abstract: Certain embodiments of the present invention provide for a system and method for modeling S-distortion in an image intensifier. In an embodiment, the method may include identifying a reference coordinate on an input screen of the image intensifier. The method also includes computing a set of charged particle velocity vectors. The method also includes computing a set of magnetic field vectors. The method also includes computing the force exerted on the charged particle in an image intensifier. Certain embodiments of the present invention include an iterative method for calibrating an image acquisition system with an analytic S-distortion model. In an embodiment, the method may include comparing the difference between the measured fiducial shadow positions and the model fiducial positions with a threshold value. If the difference is less than the threshold value, the optical distortion parameters are used for linearizing the set of acquired images.

Abstract: Certain embodiments of the present invention provide for a system and method for modeling S-distortion in an image intensifier. In an embodiment, the method may include identifying a reference coordinate on an input screen of the image intensifier. The method also includes computing a set of charged particle velocity vectors. The method also includes computing a set of magnetic field vectors. The method also includes computing the force exerted on the charged particle in an image intensifier. Certain embodiments of the present invention include an iterative method for calibrating an image acquisition system with an analytic S-distortion model. In an embodiment, the method may include comparing the difference between the measured fiducial shadow positions and the model fiducial positions with a threshold value. If the difference is less than the threshold value, the optical distortion parameters are used for linearizing the set of acquired images.

Abstract: Certain embodiments of the present invention provide for a system and method for modeling S-distortion in an image intensifier. In an embodiment, the method may include identifying a reference coordinate on an input screen of the image intensifier. The method also includes computing a set of charged particle velocity vectors. The method also includes computing a set of magnetic field vectors. The method also includes computing the force exerted on the charged particle in an image intensifier. Certain embodiments of the present invention include an iterative method for calibrating an image acquisition system with an analytic S-distortion model. In an embodiment, the method may include comparing the difference between the measured fiducial shadow positions and the model fiducial positions with a threshold value. If the difference is less than the threshold value, the optical distortion parameters are used for linearizing the set of acquired images.

Abstract: A system and method for identifying errors while tracking instrument navigations is enclosed. The method may include assigning a plurality of virtual points to a plurality of sensors. At least one of the virtual points may be a non-fixed virtual point. The assignment of virtual points to sensors may be determined based on the medical instrument, or the medical instrument attachment, being used. Virtual point locations may be determined for the non-fixed virtual point. The locations of the non-fixed virtual point may be determined based on the medical instrument, or the medical instrument attachment, being used. The vector values for vectors terminating at the non-fixed virtual point may be adjusted. The field integrity values for the virtual points may be computed. If a field integrity value is greater than a threshold value, an error signal may be communicated.