Abstract: A system and method for pre-operatively obtaining a prediction of a post-operative image of at least part of a body is disclosed. A 3D pre-operative description is determined of at least part of a body, and a pre-operative 2D photograph is acquired of the at least part of the body from any viewing position. The 3D pre-operative description is matched with the pre-operative 2D photograph, and a deformation field is determined for deforming the 3D pre-operative description. A predicted post-operative image of a 3D post-operative description of the at least part of the body is derived by means of the deformation field and the pre-operative 2D photograph.

Abstract: Method to bring out a temporal difference between corresponding structures in a reference image R and a floating image F by convolving the reference image R and the floating image F with a window function Hw to generate Rw and Fw, applying a non-rigid transformation resulting in a transformation field g(rR) mapping every location rR to a corresponding location rF in the floating image F and generating a subtraction image by performing subtraction Rw(r)?Fw(g(r)) wherein r represents a voxel (x, y, z) in reference image R.

Abstract: A workflow method for temporal nodule review by registering a reference image R with a floating image F, convolving the reference image R and the floating image with the same window function Hw to generate Rw and Fw, generating a subtraction image by performing subtraction Rw?Fw (g(r)) wherein r represents a voxel (x, y, z) in reference image R, applying a pattern detector to said subtraction image to detect corresponding nodules in reference image R and floating image F and displaying corresponding nodules.

Abstract: An image point in a displayed reference image R is selected and a non-rigid transformation resulting in a transformation field g(rR) mapping every location rR to a corresponding location rF in a floating image F is applied, next a rigid body transformation is applied to floating image F such that rF coincides with the selected image point and the transformed floating image is displayed.

Abstract: Method to bring out a temporal difference between corresponding structures in a reference image R and a floating image F by convolving the reference image R and the floating image F with a window function Hw to generate Rw and Fw, applying a non-rigid transformation resulting in a transformation field g(rR) mapping every location rR to a corresponding location rF in the floating image F and generating a subtraction image by performing subtraction Rw(r)?Fw(g(r)) wherein r represents a voxel (x, y, z) in reference image R.

Abstract: A workflow method for temporal nodule review by registering a reference image R with a floating image F, convolving the reference image R and the floating image with the same window function Hw to generate Rw and Fw, generating a subtraction image by performing subtraction Rw?Fw (g(r)) wherein r represents a voxel (x, y, z) in reference image R, applying a pattern detector to said subtraction image to detect corresponding nodules in reference image R and floating image F and displaying corresponding nodules.

Abstract: An image point in a displayed reference image R is selected and a non-rigid transformation resulting in a transformation field g(rR) mapping every location rR to a corresponding location rF in a floating image F is applied, next a rigid body transformation is applied to floating image F such that rF coincides with the selected image point and the transformed floating image is displayed.

Abstract: A system and method for pre-operatively obtaining a prediction of a post-operative image of at least part of a body is disclosed. A 3D pre-operative description is determined of at least part of a body, and a pre-operative 2D photograph is acquired of the at least part of the body from any viewing position. The 3D pre-operative description is matched with the pre-operative 2D photograph, and a deformation field is determined for deforming the 3D pre-operative description. A predicted post-operative image of a 3D post-operative description of the at least part of the body is derived by means of the deformation field and the pre-operative 2D photograph.

Abstract: A multi-resolution representation is generated of at least one color component of a color image in a selected color space by applying a decomposition procedure to the color component. The multi-resolution representation(s) is (are) modified by application of at least one non-linear modifying function. Next, modified color component images are generated by applying the inverse of the decomposition step to the modified multi-resolution representations(s).