Abstract: A computer implemented method for quantifying and predicting the progression of interstitial lung disease is disclosed herein. The method comprises obtaining at least one image based on a scan of at least a part of a patient's lung, segmenting the image to obtain a lung mask defining the periphery of the lung and to identify structures within the lung mask, and applying a weighting to the identified structures based on the relative position of the structures relative to the lung periphery to obtain a weighted score. The method may then comprise quantifying the extent of interstitial lung disease, and/or predicting the progression of interstitial lung disease, based on the weighted score.

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.