Abstract: A method of analysing data from an angiographic scan that provides three-dimensional information about blood vessels in a patient's brain, the method comprising the steps of: processing the data (26) to produce a three-dimensional image; extracting the system of blood vessels inside the skull, so as to obtain a vessel mask (28); skeletonising (30) the vessel mask with a thinning algorithm to produce a skeleton mask performing a central plane extraction; analysing (32) the skeleton mask to identify voxels that have more than two neighbours, indicating a fork, bifurcation or branch; detecting the most proximal location of each of the three main supplying arteries of the head in the skeleton mask to identify starting positions; and then starting from each starting position in turn, and walking along the line representing the corresponding blood vessel to detect (34) a plurality of anatomical markers within the network of blood vessels.

Abstract: Data from a tomographic scan (14) that provides three-dimensional information about a patient's brain comprises the steps of: filtering and re-sampling (21) the data to produce a three-dimensional image; performing registration (23) to align the three-dimensional image with a reference image (16), using 3-D rigid and/or non-rigid transformations; identifying (25) image features in the aligned image, to identify which voxels or regions of adjacent voxels correspond to image features that represent structures within the brain that are expected to be evident; classifying (26) each voxel within an identified image feature by a voxel score that corresponds to the difference between the attenuation of that voxel and the expected attenuation at that region of the brain; and deducing a cumulative score that combines the voxel scores from all the voxels of at least a region of the brain.

Abstract: An apparatus includes an interface configured to receive image data and position data from an aircraft. The image data is associated with a plurality of images of a scene including an object. The position data is associated with positions of a camera of the aircraft that captured the plurality of images. The apparatus further includes a processor configured to identify a first camera position corresponding to a first image of the plurality of images. The processor further configured to identify a first relative position of the object relative to the camera. The first relative position identified based on the first camera position, the first image data, and second image data corresponding to a second image of the plurality of images. The processor further configured to output an indication of a global position of the object based on the position data and the first relative position of the object.

Abstract: A method of analysing data from an angiographic scan that provides three-dimensional information about blood vessels in a patient's brain, the method comprising the steps of: processing the data (26) to produce a three-dimensional image; extracting the system of blood vessels inside the skull, so as to obtain a vessel mask (28); skeletonising (30) the vessel mask with a thinning algorithm to produce a skeleton mask performing a central plane extraction; analysing (32) the skeleton mask to identify voxels that have more than two neighbours, indicating a fork, bifurcation or branch; detecting the most proximal location of each of the three main supplying arteries of the head in the skeleton mask to identify starting positions; and then starting from each starting position in turn, and walking along the line representing the corresponding blood vessel to detect (34) a plurality of anatomical markers within the network of blood vessels.

Abstract: An apparatus includes an interface configured to receive image data and position data from an aircraft. The image data is associated with a plurality of images of a scene including an object. The position data is associated with positions of a camera of the aircraft that captured the plurality of images. The apparatus further includes a processor configured to identify a first camera position corresponding to a first image of the plurality of images. The processor further configured to identify a first relative position of the object relative to the camera. The first relative position identified based on the first camera position, the first image data, and second image data corresponding to a second image of the plurality of images. The processor further configured to output an indication of a global position of the object based on the position data and the first relative position of the object.

Abstract: An apparatus includes an interface configured to receive image data and position data. The image data is associated with a plurality of images of a scene including an object. The position data is associated with positions of a camera that captured the plurality of images. The apparatus further includes a processor configured to identify a corresponding camera position for a first image of the plurality of images and to output an indication of a global position of the object based on first image data corresponding to the first image and based on the corresponding camera position.

Abstract: Data from a tomographic scan (14) that provides three-dimensional information about a patient's brain comprises the steps of: filtering and re-sampling (21) the data to produce a three-dimensional image; performing registration (23) to align the three-dimensional image with a reference image (16), using 3-D rigid and/or non-rigid transformations; identifying (25) image features in the aligned image, to identify which voxels or regions of adjacent voxels correspond to image features that represent structures within the brain that are expected to be evident; classifying (26) each voxel within an identified image feature by a voxel score that corresponds to the difference between the attenuation of that voxel and the expected attenuation at that region of the brain; and deducing a cumulative score that combines the voxel scores from all the voxels of at least a region of the brain.

Abstract: An apparatus includes an interface configured to receive image data and position data. The image data is associated with a plurality of images of a scene including an object. The position data is associated with positions of a camera that captured the plurality of images. The apparatus further includes a processor configured to identify a corresponding camera position for a first image of the plurality of images and to output an indication of a global position of the object based on first image data corresponding to the first image and based on the corresponding camera position.

Abstract: The absolute position of a target object point is determined using a series of images of the scene with overlapping fields of view captured by a camera in positions arranged in at least two dimensions across the scene and position data representing the absolute positions of the camera on capture of the respective images. The images are analyzed to identify sets of image points corresponding to common object points in the scene. A bundle adjustment is performed on the sets of image points that estimates parameters representing the positions of the object points relative to the positions of the camera associated with each image, but without using input orientation data representing the orientation of the camera. The absolute position of the target object point is derived on the basis of the results of the bundle adjustment and the absolute positions of the camera represented by the position data.

Abstract: The absolute position of a target object point is determined using a series of images of the scene with overlapping fields of view captured by a camera in positions arranged in at least two dimensions across the scene and position data representing the absolute positions of the camera on capture of the respective images. The images are analysed to identify sets of image points corresponding to common object points in the scene. A bundle adjustment is performed on the sets of image points that estimates parameters representing the positions of the object points relative to the positions of the camera associated with each image, but without using input orientation data representing the orientation of the camera. The absolute position of the target object point is derived on the basis of the results of the bundle adjustment and the absolute positions of the camera represented by the position data.