Abstract: A computer-implemented method (and corresponding data processing facility and computer program) for creating a 3D bifurcation healthy model from multiple 2D angiographic images comprises the following: a. Creating a 3-D model based on said images; b. Defining a bifurcation region regarding said 3D model; c. Creating an area curve regarding said region; d. Creating a reference area curve regarding said region whilst reconstructing in 2D; e. Creating a healthy model regarding said area curves; and f. Computing quantitative analysis results regarding said healthy model based on the healthy cross-sectional areas of the bifurcation, obstruction boundaries and the diseased 3D model consisting of the bifurcation centerlines and cross-sections of the lumen on the centerline, the healthy centerline and cross-sections.

Abstract: A computer-implemented method (and corresponding data processing facility and computer program) for creating a 3D bifurcation healthy model from multiple 2D angiographic images comprises the following: a. Creating a 3-D model based on said images; b. Defining a bifurcation region regarding said 3D model; c. Creating an area curve regarding said region; d. Creating a reference area curve regarding said region whilst reconstructing in 2D; e. Creating a healthy model regarding said area curves; and f. Computing quantitative analysis results regarding said healthy model based on the healthy cross-sectional areas of the bifurcation, obstruction boundaries and the diseased 3D model consisting of the bifurcation centerlines and cross-sections of the lumen on the centerline, the healthy centerline and cross-sections.

Abstract: A method is disclosed to accurately determine spatial parameters (for example, the diameter, cross-sectional area and segment length) of bodily structures like human arteries. This is done by determining the three-dimensional position of these structures from two monoplane X-ray angiographic images obtained at arbitrary but different orientations with respect to the structure of interest. The images may be taken at a different moment, so a monoplane X-ray system can be used. Movement of the structure of interest in between the two X-ray exposures is allowed. The three-dimensional information obtained this way is subsequently used to correct the measurements of above mentioned parameters for commonly encountered error sources.

Abstract: A method is disclosed to accurately determine spatial parameters (for example, the diameter, cross-sectional area and segment length) of bodily structures like human arteries. This is done by determining the three-dimensional position of these structures from two monoplane X-ray angiographic images obtained at arbitrary but different orientations with respect to the structure of interest. The images may be taken at a different moment, so a monoplane X-ray system can be used. Movement of the structure of interest in between the two X-ray exposures is allowed. The three-dimensional information obtained this way is subsequently used to correct the measurements of above mentioned parameters for commonly encountered error sources.