Abstract: Described herein are technologies for facilitating reconstruction of flow data. In accordance with one aspect, the framework receives a four-dimensional projection image dataset and registers one or more pairs of temporally adjacent projection images in the image dataset. Two-dimensional flow maps may be determined based on the registered pairs. The framework may then sort the two-dimensional flow maps according to heart phases, and reconstruct a three-dimensional flow map based on the sorted two-dimensional flow maps.

Abstract: A framework for quantitative evaluation of time-varying data. In accordance with one aspect, the framework delineates a volume of interest in a four-dimensional (4D) Digital Subtraction Angiography (DSA) dataset (204). The framework then extracts a centerline of the volume of interest (206). In response to receiving one or more user-selected points along the centerline (208), the framework determines at least one blood dynamics measure associated with the one or more user-selected points (210), and generates a visualization based on the blood dynamics measure (212).

Abstract: A framework for quantitative evaluation of time-varying data. In accordance with one aspect, the framework delineates a volume of interest in a four-dimensional (4D) Digital Subtraction Angiography (DSA) dataset (204). The framework then extracts a centerline of the volume of interest (206). In response to receiving one or more user-selected points along the centerline (208), the framework determines at least one blood dynamics measure associated with the one or more user-selected points (210), and generates a visualization based on the blood dynamics measure (212).

Abstract: Vessel overlap artifacts are reduced in a four-dimensional angiography data set a blood vessel system of a patient with a contrast medium. A three-dimensional vessel data set of the blood vessel system is reconstructed from two-dimensional projection images of digital subtraction angiography showing the blood vessel system, determined by multiplicative back projection of the projection images into the vessel data set or a base data set of the four-dimensional angiography data set derived vessel data set. A plausibility check is performed with vessel sections displayed as filled with contrast medium in partial image data sets of the angiography data set assigned to all individual, and different instants of the covered period are checked against a plausibility check criterion checking for a contrast medium-filled connection to an admissible source point, after which a corrected partial image data set is determined containing only vessel sections satisfying the plausibility check criterion.

Abstract: A method calculates a four-dimensional DSA dataset from x-ray datasets. Each of the x-ray datasets contains a two-dimensional x-ray projection of an examination volume in relation to a direction of projection and a recording time. A first three-dimensional DSA dataset of a first reconstruction volume is determined based on the x-ray datasets. The first reconstruction volume is a part of the examination volume. A second three-dimensional DSA dataset of a second reconstruction volume is determined based on the x-ray datasets. The second reconstruction volume is a part of the first reconstruction volume. The second three-dimensional DSA dataset is segmented. The x-ray datasets are normalized based on the first three-dimensional DSA dataset. A four-dimensional DSA dataset is calculated by back projection of the normalized x-ray datasets onto the segmented second three-dimensional DSA dataset.

Abstract: A method is provided for image processing an angiography data set of a capture region of interest of a patient's vascular system. The method includes establishing a static time parameter set from the angiography data set, wherein the static time parameter set includes time parameters and characterizes the time profile of the contrast agent concentration for picture elements of the capture region described in the image data subsets; establishing a series of mask data sets by picture element-by-picture element application of a window function having a window width of greater than zero; selecting a subinterval in the parameter space covered by the time parameters for each instant of the series to the static time parameter set; and establishing a series of static display data sets by applying the mask data sets to a static vessel data set, which shows a vascular system perfused by the contrast agent in the capture region and which underlies or is derived from the angiography data set.

Abstract: A method is provided for image processing an angiography data set of a capture region of interest of a patient's vascular system. The method includes establishing a static time parameter set from the angiography data set, wherein the static time parameter set includes time parameters and characterizes the time profile of the contrast agent concentration for picture elements of the capture region described in the image data subsets; establishing a series of mask data sets by picture element-by-picture element application of a window function having a window width of greater than zero; selecting a subinterval in the parameter space covered by the time parameters for each instant of the series to the static time parameter set; and establishing a series of static display data sets by applying the mask data sets to a static vessel data set, which shows a vascular system perfused by the contrast agent in the capture region and which underlies or is derived from the angiography data set.

Abstract: Vessel overlap artifacts are reduced in a four-dimensional angiography data set a blood vessel system of a patient with a contrast medium. A three-dimensional vessel data set of the blood vessel system is reconstructed from two-dimensional projection images of digital subtraction angiography showing the blood vessel system, determined by multiplicative back projection of the projection images into the vessel data set or a base data set of the four-dimensional angiography data set derived vessel data set. A plausibility check is performed with vessel sections displayed as filled with contrast medium in partial image data sets of the angiography data set assigned to all individual, and different instants of the covered period are checked against a plausibility check criterion checking for a contrast medium-filled connection to an admissible source point, after which a corrected partial image data set is determined containing only vessel sections satisfying the plausibility check criterion.

Abstract: A method calculates a four-dimensional DSA dataset from x-ray datasets. Each of the x-ray datasets contains a two-dimensional x-ray projection of an examination volume in relation to a direction of projection and a recording time. A first three-dimensional DSA dataset of a first reconstruction volume is determined based on the x-ray datasets. The first reconstruction volume is a part of the examination volume. A second three-dimensional DSA dataset of a second reconstruction volume is determined based on the x-ray datasets. The second reconstruction volume is a part of the first reconstruction volume. The second three-dimensional DSA dataset is segmented. The x-ray datasets are normalized based on the first three-dimensional DSA dataset. A four-dimensional DSA dataset is calculated by back projection of the normalized x-ray datasets onto the segmented second three-dimensional DSA dataset.

Abstract: Described herein are technologies for facilitating reconstruction of flow data. In accordance with one aspect, the framework receives a four-dimensional projection image dataset and registers one or more pairs of temporally adjacent projection images in the image dataset. Two-dimensional flow maps may be determined based on the registered pairs. The framework may then sort the two-dimensional flow maps according to heart phases, and reconstruct a three-dimensional flow map based on the sorted two-dimensional flow maps.

Abstract: Systems and methods are provided for refined data reconstruction. In accordance with one aspect, the framework performs a first four-dimensional reconstruction of time-varying data to generate a four-dimensional Digital Subtraction Angiography (DSA) dataset of an object of interest. The framework extracts a volume of interest from the four-dimensional DSA dataset to generate a volume array. The volume of interest may be refined based on the volume array to generate a refined dataset. A second four-dimensional reconstruction may then be performed based on the refined dataset to generate a zoomed-in four-dimensional representation of the volume of interest.

Abstract: Systems and methods are provided for refined data reconstruction. In accordance with one aspect, the framework performs a first four-dimensional reconstruction of time-varying data to generate a four-dimensional Digital Subtraction Angiography (DSA) dataset of an object of interest. The framework extracts a volume of interest from the four-dimensional DSA dataset to generate a volume array. The volume of interest may be refined based on the volume array to generate a refined dataset. A second four-dimensional reconstruction may then be performed based on the refined dataset to generate a zoomed-in four-dimensional representation of the volume of interest.