Abstract: A method for registration of digital medical images is provided. The method includes the step of storing a 3D digital medical image having a 3D anatomical feature and a first coordinate system and storing a 2D digital medical image having a 2D anatomical feature and a second coordinate system. The method further includes the steps of storing a placement of a digital medical object on the 3D digital medical image and the 2D digital medical image and generating a simulated 2D digital medical image from the 3D digital medical image, wherein the simulated 2D digital medical image comprises a simulated 2D anatomical feature corresponding to the 3D anatomical feature. The 2D anatomical feature is compared with the simulated 2D anatomical feature until a match is reached and a registration of the first coordinate system with the second coordinate system based on the match is determined.

Abstract: A method for registration of digital medical images is provided. The method includes the step of storing a 3D digital medical image having a 3D anatomical feature and a first coordinate system and storing a 2D digital medical image having a 2D anatomical feature and a second coordinate system. The method further includes the steps of storing a placement of a digital medical object on the 3D digital medical image and the 2D digital medical image and generating a simulated 2D digital medical image from the 3D digital medical image, wherein the simulated 2D digital medical image comprises a simulated 2D anatomical feature corresponding to the 3D anatomical feature. The 2D anatomical feature is compared with the simulated 2D anatomical feature until a match is reached and a registration of the first coordinate system with the second coordinate system based on the match is determined.

Abstract: A method for registration of digital medical images is provided. The method includes the step of storing a 3D digital medical image having a 3D anatomical feature and a first coordinate system and storing a 2D digital medical image having a 2D anatomical feature and a second coordinate system. The method further includes the steps of storing a placement of a digital medical object on the 3D digital medical image and the 2D digital medical image and generating a simulated 2D digital medical image from the 3D digital medical image, wherein the simulated 2D digital medical image comprises a simulated 2D anatomical feature corresponding to the 3D anatomical feature. The 2D anatomical feature is compared with the simulated 2D anatomical feature until a match is reached and a registration of the first coordinate system with the second coordinate system based on the match is determined.

Abstract: A method for registration of digital medical images is provided. The method includes the step of storing a 3D digital medical image having a 3D anatomical feature and a first coordinate system and storing a 2D digital medical image having a 2D anatomical feature and a second coordinate system. The method further includes the steps of storing a placement of a digital medical object on the 3D digital medical image and the 2D digital medical image and generating a simulated 2D digital medical image from the 3D digital medical image, wherein the simulated 2D digital medical image comprises a simulated 2D anatomical feature corresponding to the 3D anatomical feature. The 2D anatomical feature is compared with the simulated 2D anatomical feature until a match is reached and a registration of the first coordinate system with the second coordinate system based on the match is determined.

Abstract: A method for registration of digital medical images is provided. The method includes the step of storing a 3D digital medical image having a 3D anatomical feature and a first coordinate system and storing a 2D digital medical image having a 2D anatomical feature and a second coordinate system. The method further includes the steps of storing a placement of a digital medical object on the 3D digital medical image and the 2D digital medical image and generating a simulated 2D digital medical image from the 3D digital medical image, wherein the simulated 2D digital medical image comprises a simulated 2D anatomical feature corresponding to the 3D anatomical feature. The 2D anatomical feature is compared with the simulated 2D anatomical feature until a match is reached and a registration of the first coordinate system with the second coordinate system based on the match is determined.

Abstract: The present disclosure relates to acquiring image data of a subject with an imaging system that has been calibrated. The imaging system can include an ultrasound imaging system that collects one of more images based on a plane of image acquisition. The plane of image acquisition can be calibrated to a tracking device associated with the ultrasound transducer.

Abstract: A system and method can increase confidence or other factors of a trajectory, path, etc. for a procedure. The system can use various weighting or determining factors to identify confidence of identified trajectories. The identified trajectories can be used for various purposes, such as diagnosis or treatment.

Abstract: The present disclosure relates to acquiring image data of a subject with an imaging system that has been calibrated. The imaging system can include an ultrasound imaging system that collects one of more images based on a plane of image acquisition. The plane of image acquisition can be calibrated to a tracking device associated with the ultrasound transducer.

Abstract: A system and method can increase confidence or other factors of a trajectory, path, etc. for a procedure. The system can use various weighting or determining factors to identify confidence of identified trajectories. The identified trajectories can be used for various purposes, such as diagnosis or treatment.

Abstract: The present invention is a method, system, and apparatus for visually displaying digitized information in a way that allows a human operator to detect easily patterns and characteristics within the data. A personal computer is used to extract raw data and to perform Boolean operations at the behest of a user. The manipulated information is then converted into a false-color image and displayed on an output screen. The images can be compared to known data, called a template, in order to detect one or more desired patterns that indicate desirable features. The desired pattern can then be highlighted (or illuminated) and be displayed to the operator so that the location of the desired feature may be identified.

Abstract: The present invention is a method, system, and apparatus for visually displaying digitized information in a way that allows a human operator to detect easily patterns and characteristics within the data. A personal computer is used to extract raw data and to perform Boolean operations at the behest of a user. The manipulated information is then converted into a false-color image and displayed on an output screen. The images can be compared to known data, called a template, in order to detect one or more desired patterns that indicate desirable features. The desired pattern can then be highlighted (or illuminated) and be displayed to the operator so that the location of the desired feature may be identified.

Abstract: An apparatus and method for analyzing known data, storing the known data in a pattern database (“PDB”) as a template is provided. Additional methods are provided for comparing new data against the templates in the PDB. The data is stored in such a way as to facilitate the visual recognition of desired patterns or indicia indicating the presence of a desired or undesired feature within the new data. The apparatus and method is applicable to a variety of applications where large amounts of information are generated, and/or if the data exhibits fractal or chaotic attributes.

Abstract: The present invention is a method, system, and apparatus for visually displaying digitized information in a way that allows a human operator to detect easily patterns and characteristics within the data. A personal computer is used to extract raw data and to perform Boolean operations at the behest of a user. The manipulated information is then converted into a false-color image and displayed on an output screen. The images can be compared to known data, called a template, in order to detect one or more desired patterns that indicate desirable features. The desired pattern can then be highlighted (or illuminated) and be displayed to the operator so that the location of the desired feature may be identified.