Abstract: An X-ray system for taking an X-ray image of an object includes an X-ray source, an X-ray detector, depth camera(s) covering at least an area covered by an X-ray bundle and configured to obtain depth images and a client device including a display adapted to display an impression image to a user. The system further includes a controller configured to derive the impression image including a representation of this area from the depth images; and to obtain from the client device a first geometric position correction of the X-ray imaging system with respect to this impression image; and to convert the first geometric position correction to an actual geometric position configuration of the X-ray imaging system by a known relation between the one or more depth cameras and the X-ray imaging system.

Abstract: A method of monitoring a radiation amount received from an X-ray source in an X-ray imaging system for taking an X-ray image of an object includes the steps of obtaining one or more depth images from one or more depth cameras; the one or more depth cameras covering at least an area covered by an X-ray bundle of an X-ray source of the X-ray imaging system; positioning the object against or on a surface including radiation measurement chambers and identifying select radiation measurement chambers underneath the object from the one or more depth images and/or from a single depth image derived from the one or more depth images; and activating the select radiation measurement chambers.

Abstract: A method of monitoring a radiation amount received from an X-ray source in an X-ray imaging system for taking an X-ray image of an object includes the steps of obtaining one or more depth images from one or more depth cameras; the one or more depth cameras covering at least an area covered by an X-ray bundle of an X-ray source of the X-ray imaging system; positioning the object against or on a surface including radiation measurement chambers and identifying select radiation measurement chambers underneath the object from the one or more depth images and/or from a single depth image derived from the one or more depth images; and activating the select radiation measurement chambers.

Abstract: An X-ray system for taking an X-ray image of an object includes an X-ray source, an X-ray detector, depth camera(s) covering at least an area covered by an X-ray bundle and configured to obtain depth images and a client device including a display adapted to display an impression image to a user. The system further includes a controller configured to derive the impression image including a representation of this area from the depth images; and to obtain from the client device a first geometric position correction of the X-ray imaging system with respect to this impression image; and to convert the first geometric position correction to an actual geometric position configuration of the X-ray imaging system by a known relation between the one or more depth cameras and the X-ray imaging system.

Abstract: A method of automatically configuring an X-ray imaging system for taking an X-ray image of an object includes, first, obtaining one or more depth images from one or more depth cameras covering at least an area covered by an X-ray bundle of an X-ray source. Then, a thickness of the object is determined from the depth image(s). Then, this thickness value is converted to a dose configuration of the X-ray imaging system by taking into account a transmission length of the X-ray bundle through the object and knowledge about tissue types being imaged.

Abstract: An image is segmented by subjecting the image to an iterative thresholding operation, and a hierarchical representation of clusters is obtained by analyzing the results of each of the iterative thresholding steps to find clusters of adjacent image elements. A type class is assigned to a leaf cluster of the hierarchical representation and the assigned class is propagated towards the top of the hierarchical representation. Then a mask is generated marking the locations of image elements contained in the top ancestral clusters of a specific type.

Abstract: An image is segmented by subjecting the image to an iterative thresholding operation, and a hierarchical representation of clusters is obtained by analyzing the results of each of the iterative thresholding steps to find clusters of adjacent image elements. A type class is assigned to a leaf cluster of the hierarchical representation and the assigned class is propagated towards the top of the hierarchical representation. Then a mask is generated marking the locations of image elements contained in the top ancestral clusters of a specific type.