Abstract: A method for segmenting an image includes receiving one or more object seeds associated with one or more first object portions represented by a first image and receiving one or more background seeds associated with one or more first background portions represented by the first image. A second image representing one or more second object portions and one or more second background portions is received, wherein the first image comprises a plurality of subportions and the second image is a subportion of the plurality of subportions of the first image. The second image is processed based on the one or more object seeds and the one or more background seeds to determine the one or more second object portions and the one or more second background portions.

Abstract: A method for segmenting an image includes receiving one or more object seeds associated with one or more first object portions represented by a first image and receiving one or more background seeds associated with one or more first background portions represented by the first image. A second image representing one or more second object portions and one or more second background portions is received, wherein the first image comprises a plurality of subportions and the second image is a subportion of the plurality of subportions of the first image. The second image is processed based on the one or more object seeds and the one or more background seeds to determine the one or more second object portions and the one or more second background portions.

Abstract: A method for segmenting an image includes receiving one or more object seeds associated with one or more first object portions represented by a first image and receiving one or more background seeds associated with one or more first background portions represented by the first image. A second image representing one or more second object portions and one or more second background portions is received, wherein the first image comprises a plurality of subportions and the second image is a subportion of the plurality of subportions of the first image. The second image is processed based on the one or more object seeds and the one or more background seeds to determine the one or more second object portions and the one or more second background portions.

Abstract: A method for segmenting an image includes receiving one or more object seeds associated with one or more first object portions represented by a first image and receiving one or more background seeds associated with one or more first background portions represented by the first image. A second image representing one or more second object portions and one or more second background portions is received, wherein the first image comprises a plurality of subportions and the second image is a subportion of the plurality of subportions of the first image. The second image is processed based on the one or more object seeds and the one or more background seeds to determine the one or more second object portions and the one or more second background portions.

Abstract: A computer-implemented method for identifying features in an image. The method comprises fitting a plurality of second models to the image, the plurality of second models together modelling a region of interest, wherein each part of the region of interest is modelled by at least two of the plurality of second models; and identifying the features in the image based upon the fit of the plurality of second models.

Abstract: A computer-implemented method for identifying features in an image. The method comprises fitting a plurality of second models to the image, the plurality of second models together modelling a region of interest, wherein each part of the region of interest is modelled by at least two of the plurality of second models; and identifying the features in the image based upon the fit of the plurality of second models.

Abstract: A computer-implemented method for identifying features in an image. The method comprises fitting a plurality of second models to the image, the plurality of second models together modelling a region of interest, wherein each part of the region of interest is modelled by at least two of the plurality of second models; and identifying the features in the image based upon the fit of the plurality of second models.

Abstract: A method for producing a customized surgical instrument or prosthesis for a specific patient is described. At least one x-ray image of a body part of the patient is captured. A statistical model having a dense set of anatomical correspondence points across the model is instantiated using image data derived from the at least one x-ray image to generate a patient specific model of the body part having a high accuracy surface. Patient specific data from the patient specific model is used to generate a design of the customized surgical instrument or prosthesis for use in a surgical procedure to be carried out on the body part. The surgical instrument or prosthesis is then manufactured using the design. A computer implemented method for generating the patient specific model of the body part is also described.

Abstract: A computer-implemented method for identifying features in an image. The method comprises fitting a plurality of second models to the image, the plurality of second models together modelling a region of interest, wherein each part of the region of interest is modelled by at least two of the plurality of second models; and identifying the features in the image based upon the fit of the plurality of second models.

Abstract: A method for producing a customised surgical instrument or prosthesis for a specific patient is described. At least one x-ray image of a body part of the patient is captured. A statistical model having a dense set of anatomical correspondence points across the model is instantiated using image data derived from the at least one x-ray image to generate a patient specific model of the body part having a high accuracy surface. Patient specific data from the patient specific model is used to generate a design of the customised surgical instrument or prosthesis for use in a surgical procedure to be carried out on the body part. The surgical instrument or prosthesis is then manufactured using the design. A computer implemented method for generating the patient specific model of the body part is also described.