Abstract: Methods for correlating intraluminal data with x-ray image data involve providing x-ray image data of a tubular organ, providing intraluminal data of the tubular organ, synchronizing the x-ray image data with the intraluminal data based on a cardiac cycle extracted from an available input signal and/or the x-ray image data and/or the intraluminal data to match x-ray image data with intraluminal data in a specific cardiac phase, and co-registering x-ray image data with intraluminal data by creating a cumulative image at the specific cardiac phase which reconstructs the path followed by an intraluminal wire used for acquiring the intraluminal data to link the intraluminal data to spatial locations of the path followed by the wire within the x-ray image. A corresponding system and computer program are also disclosed. The method and systems can be controlled by one or more computer systems configured with specific executable instructions.

Abstract: Methods for correlating intraluminal data with x-ray image data involve providing x-ray image data of a tubular organ, providing intraluminal data of the tubular organ, synchronizing the x-ray image data with the intraluminal data based on a cardiac cycle extracted from an available input signal and/or the x-ray image data and/or the intraluminal data to match x-ray image data with intraluminal data in a specific cardiac phase, and co-registering x-ray image data with intraluminal data by creating a cumulative image at the specific cardiac phase which reconstructs the path followed by an intraluminal wire used for acquiring the intraluminal data to link the intraluminal data to spatial locations of the path followed by the wire within the x-ray image. A corresponding system and computer program are also disclosed. The method and systems can be controlled by one or more computer systems configured with specific executable instructions.

Abstract: A method is provided that determines velocity encoding direction of volumetric image data sets comprising three-directional velocity information (V0, V1, V2) of a target volume, which involves: a) defining a coordinate system (X, Y, Z); b) determining all the possible arrangements of the three velocity components (V0, V1, V2) along the three coordinate axes (X, Y, Z); c) determining reference point or points in the target volume either automatically or upon user input; d) determining streamlines for each point for all possible combinations of velocity components as determined in b); and e) considering as velocity encoding direction the arrangement of the three velocity components corresponding to the streamlines having the longest length or a length above a threshold. A corresponding apparatus and computer program are also disclosed.

Abstract: A method is provided that determines velocity encoding direction of volumetric image data sets comprising three-directional velocity information (V0, V1, V2) of a target volume, which involves: a) defining a coordinate system (X, Y, Z); b) determining all the possible arrangements of the three velocity components (V0, V1, V2) along the three coordinate axes (X, Y, Z); c) determining reference point or points in the target volume either automatically or upon user input; d) determining streamlines for each point for all possible combinations of velocity components as determined in b); and e) considering as velocity encoding direction the arrangement of the three velocity components corresponding to the streamlines having the longest length or a length above a threshold. A corresponding apparatus and computer program are also disclosed.

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, data processing facility and program storage device for quantitative analysis on medical image data of a bifurcated tubular organ which involves processing the medical image data to identify contours of the bifurcated tubular organ. The contours are used to determine a Polygon of Confluence amongst the bifurcated tubular organ. The Polygon of Confluence is used to determine at least one parameter value characterizing geometry of the bifurcated tubular organ. The at least one parameter value is outputted to a user for angiography purposes. The at least one parameter value can include at least one diameter value of the bifurcated tubular organ, at least one angle value between parts of the bifurcated tubular organ, and at least one reference diameter value for the bifurcated tubular organ, the at least one reference diameter value compensating for damage to the bifurcated tubular organ.

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, data processing facility and program storage device for quantitative analysis on medical image data of a bifurcated tubular organ which involves processing the medical image data to identify contours of the bifurcated tubular organ. The contours are used to determine a Polygon of Confluence amongst the bifurcated tubular organ. The Polygon of Confluence is used to determine at least one parameter value characterizing geometry of the bifurcated tubular organ. The at least one parameter value is outputted to a user for angiography purposes. The at least one parameter value can include at least one diameter value of the bifurcated tubular organ, at least one angle value between parts of the bifurcated tubular organ, and at least one reference diameter value for the bifurcated tubular organ, the at least one reference diameter value compensating for damage to the bifurcated tubular organ.