Abstract: The invention notably relates to a computer-implemented method for designing a 3D modeled object by interaction of a user with a feature-based CAD system, the 3D modeled object representing a mechanical structure. The method comprises creating structural member features, each structural member feature representing a respective structural member of the mechanical structure, and displaying to the user a graphical representation of the mechanical structure based on the structural member features. The method further comprises creating corner features, each corner feature representing a respective corner of the mechanical structure, the creation of the corner features being performed automatically by the system, the corner features being editable by the user. This provides improved ergonomics for structural design.

Abstract: The invention notably relates to a computer-implemented method for designing a 3D modeled object by interaction of a user with a feature-based CAD system, the 3D modeled object representing a mechanical structure. The method comprises creating structural member features, each structural member feature representing a respective structural member of the mechanical structure, and displaying to the user a graphical representation of the mechanical structure based on the structural member features. The method further comprises creating corner features, each corner feature representing a respective corner of the mechanical structure, the creation of the corner features being performed automatically by the system, the corner features being editable by the user. This provides improved ergonomics for structural design.

Abstract: A system is provided for quantification of medical image data. First image obtaining means (1) are for obtaining a first image (A). Second image obtaining means (2) are for obtaining a second image (B). Spatial transformation obtaining means (3) are for obtaining spatial transformation information representing a correspondence between points in the first image and corresponding points in the second image. Identifying means (4) are for identifying a first image region (C) in the first image (A). Transforming means (5) are for transforming the first image region (C) into a corresponding second image region C?) in the second image (B) based on the spatial transformation information. Quantification means (6) are for computing a quantification relating to the second image region (C?) by accessing image values of the second image (B) within the second image region (C?).

Abstract: A system is provided for quantification of medical image data. First image obtaining means (1) are for obtaining a first image (A). Second image obtaining means (2) are for obtaining a second image (B). Spatial transformation obtaining means (3) are for obtaining spatial transformation information representing a correspondence between points in the first image and corresponding points in the second image. Identifying means (4) are for identifying a first image region (C) in the first image (A). Transforming means (5) are for transforming the first image region (C) into a corresponding second image region C?) in the second image (B) based on the spatial transformation information. Quantification means (6) are for computing a quantification relating to the second image region (C?) by accessing image values of the second image (B) within the second image region (C?).