Abstract: An apparatus for visualizing medical image data comprises a data processing unit for obtaining first image data representing a first medical image, second image data representing a second medical image, and subtraction image data representing a subtraction image, wherein the subtraction image data is generated by subtracting one of the first medical image data and the second medical image data from the other of the first medical image data and the second medical image data, and the apparatus further comprises a feature identification unit for processing the first image data representing the first medical image to identify a feature, and a rendering unit for rendering a combined image comprising an overlay of the identified feature from the first medical image data and one of the subtraction image and the second medical image.

Abstract: A medical image data processing apparatus comprises a registration unit configured to perform a non-rigid registration of a first set of medical image data and a second set of medical image data, wherein the registration unit is further configured to determine, for at least one region, a rigid or affine registration that is an approximation of the non-rigid registration.

Abstract: An image data processing apparatus comprises a data receiving unit for receiving medical image data representative of a region of a subject, wherein the medical image data comprises for each of a plurality of points in the region of the subject a first intensity value and a second intensity value, each point having a respective position on an at least two-dimensional distribution of first intensity against second intensity, and wherein for each point at least one of the first intensity value and the second intensity value is obtained from a contrast-enhanced scan of the region of the subject; and a processing unit for rendering or segmenting the medical image data in dependence on the positions of points in the at least two-dimensional distribution.

Abstract: An image data processing apparatus comprising a image data processing unit for obtaining segmented image data segmented using a segmentation process and including a representation of a vessel, wherein a region of the vessel is missing from the representation, a boundary identification unit for identifying at least one point at or near a boundary of the missing region, wherein the image data processing unit is configured to perform a further segmentation process to identify the missing region of the vessel, using the location of the at least one identified point at or near the boundary of the missing region, and the image data processing unit is further configured to generate a revised representation of the vessel including the missing region of the vessel.

Abstract: An apparatus for segmentation of medical image data comprises a data processing unit for obtaining a first set of image data and a second set of image data, wherein a structure is represented in both the first set of image data and the second set of image data, a classification unit configured to determine a classification of a first type of feature from the first set of image data and to determine a classification of a second type of feature from the second set of image data, and a segmentation unit configured to identify image data representing the structure in dependence on both the classification of the first type of feature from the first set of image data and the classification of the second type of feature from the second set of image data.

Abstract: A method of selecting image data representative of a subject from an image data set comprises determining regions of image data, wherein each region of image data consists of a respective plurality of connected voxels, and selecting at least one region as being representative of the subject based upon at least one of the size and shape of the region.

Abstract: A medical image data processing apparatus comprises a registration unit configured to perform a non-rigid registration of a first set of medical image data and a second set of medical image data thereby to determine a deformation field, and a region identification unit configured to identify at least one region for which the deformation field is approximately homogeneous, and, for at least part of at least one identified region, to obtain a substantially homogeneous approximation of the deformation field.

Abstract: An apparatus for segmentation of medical image data comprises a data processing unit for obtaining a first set of image data and a second set of image data, wherein a structure is represented in both the first set of image data and the second set of image data, a classification unit configured to determine a classification of a first type of feature from the first set of image data and to determine a classification of a second type of feature from the second set of image data, and a segmentation unit configured to identify image data representing the structure in dependence on both the classification of the first type of feature from the first set of image data and the classification of the second type of feature from the second set of image data.

Abstract: An apparatus for visualizing medical image data comprises a data processing unit for obtaining first image data representing a first medical image, second image data representing a second medical image, and subtraction image data representing a subtraction image, wherein the subtraction image data is generated by subtracting one of the first medical image data and the second medical image data from the other of the first medical image data and the second medical image data, and the apparatus further comprises a feature identification unit for processing the first image data representing the first medical image to identify a feature, and a rendering unit for rendering a combined image comprising an overlay of the identified feature from the first medical image data and one of the subtraction image and the second medical image.

Abstract: An image data processing apparatus comprises a data receiving unit for receiving image data to be segmented, and an atlas selection unit for accessing a plurality of atlas data sets and selecting a subset of the atlas data sets for use in segmenting the image data, wherein the atlas selection unit is configured to select the subset of atlas data sets in dependence on the positions of one or more anatomical landmarks comprised in the plurality of atlas data sets.

Abstract: A medical image data processing apparatus comprises a registration unit configured to perform a non-rigid registration of a first set of medical image data and a second set of medical image data, wherein the registration unit is further configured to determine, for at least one region, a rigid or affine registration that is an approximation of the non-rigid registration.

Abstract: A computer implemented method identifying calcification in a patient image data set including blood vessels.

Abstract: An apparatus for processing volumetric image data to identify vessel regions having a predetermined condition, comprises a measurement unit for measuring at least one vessel parameter, a reference identification unit for obtaining data representing a branch-free vessel and identifying at least one reference section of the branch-free vessel, a calculation unit for calculating an expected value of the parameter in a further section of the branch-free vessel based on at least one measured value of the parameter in the at least one reference section, and a region identification unit for identifying a region of the vessel having the predetermined condition in dependence on both the expected value of the parameter in the further section and a measured value of the parameter in the further section.

Abstract: An image data processing apparatus comprising a image data processing unit for obtaining segmented image data segmented using a segmentation process and including a representation of a vessel, wherein a region of the vessel is missing from the representation, a boundary identification unit for identifying at least one point at or near a boundary of the missing region, wherein the image data processing unit is configured to perform a further segmentation process to identify the missing region of the vessel, using the location of the at least one identified point at or near the boundary of the missing region, and the image data processing unit is further configured to generate a revised representation of the vessel including the missing region of the vessel.

Abstract: A computer implemented method identifying calcification in a patient image data set including blood vessels.

Abstract: A method of selecting image data representative of a subject from an image data set comprises determining regions of image data, wherein each region of image data consists of a respective plurality of connected voxels, and selecting at least one region as being representative of the subject based upon at least one of the size and shape of the region.