Abstract:
An image transformation method, performed by a computer, for determining a transformation between two medical images of an anatomical structure, respectively taken at a first and second point in time, said method comprising the steps of: acquiring first and second image datasets which represent the first and second image, respectively; determining an image-based transformation between the first image and the second image; acquiring an elastic model of the anatomical structure at the first point in time, wherein the elastic model comprises a plurality of nodes and the relationships between the nodes; calculating the displacements of a subset of the nodes in accordance with the image-based transformation; calculating the displacements of the other nodes in accordance with the relationships between the nodes as represented by the elastic model, while keeping the displacements of the nodes in the subset of nodes constant; and calculating the transformation from the displacement vectors which represent the displacements of the nodes as compared to their positions at the first point in time.
Abstract:
A method and system of compensation for intra-operative organ shift of a living subject usable in image guide surgery. In one embodiment, the method includes the steps of generating a first geometric surface of the organ of the living subject from intra-operatively acquired images of the organ of the living subject, constructing an atlas of organ deformations of the living subject from pre-operatively acquired organ images from the pre-operatively acquired organ images, generating a second geometric surface of the organ from the atlas of organ deformations, aligning the second geometric surface of the organ to the first geometric surface of the organ of the living subject to determine at least one difference between a point of the first geometric surface and a corresponding point of the second geometric surface of the organ of the living subject, which is related to organ shift, and compensating for the intra-operative organ shift.
Abstract:
A method for estimating values for a set of parameters of an imaging system is presented. At least two pictures having an overlapping area are taken with the imaging system from different positions. Pulses are sent out to the area, the reflected pulses are detected and distances between a sender of the pulses and the respective point where the pulses were reflected are calculated based on the travel time of the pulses. First information about the area is calculated based on the pictures. Second information related to the calculated distances to the area is also calculated. Values for quantities contained in the first and second information are compared. If the value for a quantity obtained from the first information differs from the value obtained from the second information, values and/or an error estimate for the set of parameters of the imaging system is calculated based on the difference.
Abstract:
A system, apparatus and method for mesh registration including an extraction of a preoperative anatomical mesh from a preoperative anatomical image based on a base topology of an anatomical mesh template, an extraction of an intraoperative anatomical mesh from an intraoperative anatomical image based on a preoperative topology of the preoperative anatomical mesh derived from the base topology of an anatomical mesh template, and a registration of the preoperative anatomical image and the intraoperative anatomical image based on a mapping correspondence between the preoperative anatomical mesh and the intraoperative anatomical mesh established by an intraoperative topology of the intraoperative anatomical mesh derived from the preoperative topology of the preoperative anatomical mesh.
Abstract:
A method for estimating values for a set of parameters of an imaging system is presented. At least two pictures having an overlapping area are taken with the imaging system from different positions. Pulses are sent out to the area, the reflected pulses are detected and distances between a sender of the pulses and the respective point where the pulses were reflected are calculated based on the travel time of the pulses. First information about the area is calculated based on the pictures. Second information related to the calculated distances to the area is also calculated. Values for quantities contained in the first and second information are compared. If the value for a quantity obtained from the first information differs from the value obtained from the second information, values and/or an error estimate for the set of parameters of the imaging system is calculated based on the difference.
Abstract:
A system can include a model to represent a volumetric deformation of a brain corresponding to brain tissue that has been displaced by at least one of disease, surgery or anatomical changes. A fusion engine can perform a coarse and /or fine fusion to align a first image of the brain with respect to a second image of the brain after a region of the brain has been displaced and to employ the deformation model to adjust one or more points on a displacement vector extending through a displaced region of the brain to compensate for spatial deformations that occur between the first and second image of the brain.
Abstract:
A system may include a thermal camera and a computing device configured to receive master image data representative of a geometry and thermal response of at least one of a theoretical component, a fabricated gold standard component, or an average of a plurality of components; receive, from the thermal camera, thermographic image data representative of a thermal response of a tested component; morph the thermographic image data to substantially align with the three-dimensional image data and produce morphed thermographic image data; and output a representation based on the morphed thermographic image data for display.
Abstract:
A method and apparatus for enhancing an image capture of a geographic area is presented. The enhancement involves receiving an image and aligning a three dimensional model to the received image. A view of the three dimensional model defined by the outline of the received image may be determined. A point of interest in the determined view of the aligned three dimensional model may be identified. A transition may be triggered between the received image to information from the three dimensional model associated with the point of interest.
Abstract:
The present invention provides an image data processing device that is beneficial in order to reduce the patient's strain and botheration for the practitioner when performing the transcranial magnetic stimulation treatment, and a transcranial magnetic stimulation apparatus utilizing the image data processing device. The image data processing device is provided with: a storage means configured to store a three-dimensional MRI image of a subject's head that has been previously taken; a three-dimensional appearance image generation means configured to generate a three-dimensional appearance image of the subject's head; an image generation means configured to perform positional alignment between the three-dimensional MRI image and the three-dimensional appearance image, and to generate a three-dimensional image of the subject's head after the positional alignment; an after-movement image generation means configured to generate, when the subject's head has been moved, a three-dimensional subject's head image after the movement and the positional alignment; an operational object image generation means configured to generate an operational object image indicating a current position of an operational object operated and moved so as to maintain a positional relation with a specific portion on the three-dimensional MRI image of the subject's head; and a display means configured to display the three-dimensional image of the subject's head after the movement and the operational object image in one image.
Abstract:
A method and apparatus for processing images. A sequence of images for a scene is received from an imaging system. An object in the scene is detected using the sequence of images. A viewpoint of the imaging system is registered to a model of the scene using a region in the model of the scene in which an expected behavior of the object is expected to occur.