Angiographic examination procedure of a vascular system in a body region of interest to a patient

The method addresses the challenge of overlapping brain parenchyma and vessels by using a 3-D volume dataset and adjustable transmission levels to achieve a non-overlapping representation, enhancing visualization in angiographic examinations.

DE102014201559B4Active Publication Date: 2025-11-20SIEMENS HEALTHINEERS AG
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Patent Information

Application Number
DE102014201559
Authority / Receiving Office
DE · DE
Patent Type
Patents
Current Assignee / Owner
Filing Date
2014-01-29
Publication Date
2025-11-20
Estimated Expiration
2034-01-29

AI Technical Summary

Technical Problem

Existing angiographic methods struggle to provide a non-overlapping representation of brain parenchyma and blood vessels, as large vessels often overlay these areas and cannot be separated effectively in 2D DSA series, making it difficult to visualize perfusion or blood flow in the brain, especially in cases like stroke or vasospasm.

Method used

A method involving the acquisition of a volume dataset, reconstruction of a 3-D volume, derivation of a binary vessel mask, combination with current 2D images, threshold calculation, backprojection, and subtraction to generate a selective, non-overlapping representation of the body region of interest, allowing adjustable transmission levels for enhanced visibility.

Benefits of technology

Enables a superimposition-free visualization of brain parenchyma and blood vessels, allowing users to choose between viewing only parenchyma, only vessels, or a combination, with adjustable parameters for optimal image clarity and subtraction of overlapping structures.

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Abstract

An angiographic examination procedure for generating at least one 2-D projection image of a vascular system (20, 23) in a body region of interest of a patient (6) with an angiography system (1 to 4) characterized by the following steps: S1 Acquisition of a volume dataset of the body region of interest including the vascular system (23), S2 Reconstruction of a 3-D volume (22) from the volume dataset with the vascular system (23), S3 forward projection (24) to generate a virtual projection (25) with the vessels (20), S4 Derivation of a binary vascular mask (26) from the virtual projection (25), S5 Acquisition of at least one recent 2-D image (27), S6 Combination of the binary vascular mask (25) with at least one current 2D image (27) to form a current mask (28), S7 Threshold calculation (29) of the current mask (28) to form a current binary mask (30), S8 Backprojection (31) of the current binary mask (30) into the 3-D volume (22) to form a mask volume (32), S9 Threshold segmentation (33) of the mask volume (32) to create a final virtual vessel volume (34) and S10 Subtraction of a projection of the vessel volume (34) from the current 2-D images (27) to generate a selective non-overlapping representation of the body region of interest with selectable parameters.
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