Abstract: A device and a method are provided for spatially locating and tracking an object, such as medical instruments, a patient and/or part of a patient's body using a camera array having at least two cameras, and for mutually assigning the spatial position of the object and an acquired, stored data set. Trackable markings are recorded via the camera array, the markings are extracted from the recordings, and a location of the markings is monitored, wherein the spatial position of the object is based on the location of the markings. Further, video recordings of a surface of the object are produced via the camera array and, with computer assistance, surface portions of the object are identified and correlated with corresponding surface portions in the stored data set, wherein the spatial position of the object is assigned to that of the data set.

Abstract: The invention relates to a calibration method for an axially determinate medical instrument, wherein: the instrument, which is situated within the localization range of a medical tracking system, is positioned such that it can be rotated about its spatially fixed or spatially determinate axis; the instrument is rotated about the axis, wherein a reference which is situated on the instrument or is arranged on and/or fastened to the instrument such that it is spatially fixed relative to the instrument comes to rest at at least two positions; the at least two positions are spatially determined with the aid of the tracking system; the axis of the instrument is spatially determined from the determined positions; and wherein the axis thus determined is assigned to the tracked instrument.

Abstract: A method and device for reciprocally assigning a spatial position of a patient and/or a part of a patient's body and an acquired, stored patient data set includes producing at least two video image recordings of the patient and/or part of the body from different recording positions via at least one video image source, wherein a three-dimensional position and/or orientation of the video image source relative to a reference coordinate system is known or can be determined. Corresponding tuples of points are identified in the video image recordings, and three-dimensional spatial positions are ascertained and stored from the identified tuples of points. The stored patient data set are matched to a point set of the assigned spatial positions, and a reciprocal assignment or registration of the spatial position of the patient and/or part of the body and the patient data set is determined when the greatest or best match has been achieved.

Abstract: A marker for a navigation system includes a reflective surface, and a light-absorbing, non-reflective or low-reflective object arranged at a defined distance from the reflective surface.

Abstract: A method and device for reciprocally assigning a spatial position of a patient and/or a part of a patient's body and an acquired, stored patient data set includes producing at least two video image recordings of the patient and/or part of the body from different recording positions via at least one video image source, wherein a three-dimensional position and/or orientation of the video image source relative to a reference coordinate system is known or can be determined. Corresponding tuples of points are identified in the video image recordings, and three-dimensional spatial positions are ascertained and stored from the identified tuples of points. The stored patient data set are matched to a point set of the assigned spatial positions, and a reciprocal assignment or registration of the spatial position of the patient and/or part of the body and the patient data set is determined when the greatest or best match has been achieved.

Abstract: A device and a method are provided for spatially locating and tracking an object, such as medical instruments, a patient and/or part of a patient's body using a camera array having at least two cameras, and for mutually assigning the spatial position of the object and an acquired, stored data set. Trackable markings are recorded via the camera array, the markings are extracted from the recordings, and a location of the markings is monitored, wherein the spatial position of the object is based on the location of the markings. Further, video recordings of a surface of the object are produced via the camera array and, with computer assistance, surface portions of the object are identified and correlated with corresponding surface portions in the stored data set, wherein the spatial position of the object is assigned to that of the data set.