Abstract: A medical image processing apparatus including processing circuitry configured to: obtain from medical imaging measurements, observations of one or more vector or tensor valued fields as projected from one or more 2D acquisition planes; use an optimisation procedure to determine from the observations a superset of 3D fields (which may be scalar, vector, or tensor) via a solution ansatz constrained by a system of partial differential equations, and output the plurality of these fields.

Abstract: A medical image processing apparatus includes processing circuitry configured to receive first volume data and second volume data; set a first symmetry plane for the first volume data and a second symmetry plane for the second volume data; and conduct a registration of the first volume data and the second volume data based on the first symmetry plane and the second symmetry plane.

Abstract: A medical image processing apparatus comprises processing circuitry configured to: receive first volume data and second volume data; set a first symmetry plane for the first volume data and a second symmetry plane for the second volume data; and conduct a registration of the first volume data and the second volume data based on the first symmetry plane and the second symmetry plane.

Abstract: A medical image processing apparatus comprises processing circuitry configured to: receive volume data; set a symmetry plane for the volume data; generate mirrored volume data by mirroring the volume data using the symmetry plane; and generate symmetrized volume data based on the volume data and the mirrored volume data.

Abstract: A medical image data processing apparatus comprising processing circuitry configured to: receive medical image data; segment a body part included in the medical image data into multiple regions; refine or constrain the segmentation based on at least one plane to obtain a segmentation that includes at least one boundary or other feature having a desired property.

Abstract: A medical image processing apparatus including processing circuitry configured to: obtain from medical imaging measurements, observations of one or more vector or tensor valued fields as projected from one or more 2D acquisition planes; use an optimisation procedure to determine from the observations a superset of 3D fields (which may be scalar, vector, or tensor) via a solution ansatz constrained by a system of partial differential equations, and output the plurality of these fields.

Abstract: An apparatus including processing circuitry configured to: acquire a plurality of sets of medical imaging data of a region of a subject, each set of data corresponding to a respective different measurement period; apply a filter to the plurality of medical imaging data sets to produce a plurality of filtered medical imaging data sets corresponding to the different measurement periods, wherein the applying of the filter is such that, for each of the medical imaging data sets, the filtering uses at least some information from the other medical imaging data sets acquired at the different time periods and wherein the applying of the filter comprises applying at least one constraint or condition and the constraint or condition comprises preserving at least one measure of intensity for each medical imaging data set.

Abstract: A method of determining a path of a tubular structure comprises: obtaining volumetric medical imaging data that represents anatomy of a subject including the tubular structure; performing a position-determining procedure that comprises: obtaining an initial position of a current point on said path of the tubular structure; selecting a sub-region based on said initial position; obtaining values of at least one parameter representative of the tubular structure; inputting to a trained model both data from said selected sub-region and said parameter values, the trained model having been trained to determine paths of tubular structures; outputting by the trained model a position for a next point on said path of the tubular structure; and updating said initial position to said next point; and repeating the position-determining procedure for updating the initial position thereby to obtain the path of the tubular structure.

Abstract: A method of determining a path of a tubular structure comprises: obtaining volumetric medical imaging data that represents anatomy of a subject including the tubular structure; performing a position-determining procedure that comprises: obtaining an initial position of a current point on said path of the tubular structure; selecting a sub-region based on said initial position; obtaining values of at least one parameter representative of the tubular structure; inputting to a trained model both data from said selected sub-region and said parameter values, the trained model having been trained to determine paths of tubular structures; outputting by the trained model a position for a next point on said path of the tubular structure; and updating said initial position to said next point; and repeating the position-determining procedure for updating the initial position thereby to obtain the path of the tubular structure.