Abstract: An apparatus for assessing a vessel of interest and a corresponding method are provided in which the modeling of the hemodynamic parameters using a fluid dynamics model can be verified by deriving feature values from the segmented vessel of interest and inputting these feature values into a classifier. The classifier may then determine, based on the feature values whether the segmentation has been performed from proximal to distal, from distal to proximal or cannot be determined from the provided data. An incorrect segmentation order can thus be identified and potentially be corrected, thereby avoiding inaccurate simulation results.

Abstract: A method and apparatus for selecting one or more diagnostic images to generate a physiological model are provided in which a set of candidate images is determined for review by a user, in particular by a physician. The candidate images are hereby determined using one or more target measures, such as a density measure, a motion measure, a deviation measure or the like, that have been derived for each diagnostic image of an X-ray angiography series and by analyzing said target measure. Subsequently, a suitability score that is based on the requirements of the physiological model that shall be generated from the selected candidate images is assigned to each candidate image.

Abstract: A method and apparatus for selecting one or more diagnostic images to generate a physiological model are provided in which a set of candidate images is determined for review by a user, in particular by a physician. The candidate images are hereby determined using one or more target measures, such as a density measure, a motion measure, a deviation measure or the like, that have been derived for each diagnostic image of an X-ray angiography series and by analyzing said target measure. Subsequently, a suitability score that is based on the requirements of the physiological model that shall be generated from the selected candidate images is assigned to each candidate image.

Abstract: An apparatus for assessing a vessel of interest and a corresponding method are provided in which the modeling of the hemodynamic parameters using a fluid dynamics model can be verified by deriving feature values from the segmented vessel of interest and inputting these feature values into a classifier. The classifier may then determine, based on the feature values whether the segmentation has been performed from proximal to distal, from distal to proximal or cannot be determined from the provided data. An incorrect segmentation order can thus be identified and potentially be corrected, thereby avoiding inaccurate simulation results.

Abstract: A method and system for improving position information associated with a collection of images is disclosed, more in particular, a method and system for improving position information of images obtained using a camera system including at least one camera mounted on or to a vehicle. A 3D model is constructed from an overlapping region in which at least two images obtained at different positions of the vehicle among the collection of images at least partially overlap. By comparing the 3D model to an aerial image, the position of the 3D model can be updated.

Abstract: A method and system for improving position information associated with a collection of images is disclosed, more in particular, a method and system for improving position information of images obtained using a camera system including at least one camera mounted on or to a vehicle. A 3D model is constructed from an overlapping region in which at least two images obtained at different positions of the vehicle among the collection of images at least partially overlap. By comparing the 3D model to an aerial image, the position of the 3D model can be updated.