Angiography Detector Positioning for Vessel Overlay Reduction
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Solution Overview
Problem
Current methods for diagnosing vascular diseases like aneurysms and stenoses through two-dimensional angiography suffer from information loss due to vessel overlays in projections, leading to ambiguities in three-dimensional reconstruction, which complicates diagnosis and requires excessive radiation and time-consuming manual alignment.
Innovation Solution
A method that uses 3D vessel tree data to simulate blood flow using Navier-Stokes equations, determining optimal camera positions and orientations over time to minimize ambiguities by projecting the volume onto a detector plane and applying a weighting mask to prioritize information from the bolus front, thereby reducing radiation exposure and alignment time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual alignment of the detector is performed to avoid vessel overlays, then diagnostic quality is improved, but radiation exposure and alignment time increase significantly
Solution Approach 1:
The system performs preliminary simulation of blood flow and pre-computation of optimal detector positions before the actual angiography sequence. By calculating the trajectories of the bolus front and determining optimal viewing angles in advance, the system eliminates the need for time-consuming manual alignment during the procedure, while ensuring diagnostic quality is maintained through pre-optimized detector positioning
2Measurement precision
If multiple test fluoroscopy images are acquired to find optimal detector position, then vessel overlay is reduced, but radiation exposure to the patient increases
Solution Approach 1:
The system performs preliminary simulation of blood flow and pre-computation of optimal detector positions before the actual angiography sequence. By calculating the trajectories of the bolus front and determining optimal viewing angles in advance, the system eliminates the need for multiple test fluoroscopy images, thereby reducing radiation exposure while maintaining vessel overlay reduction through pre-optimized detector positioning
Solution Approach 2:
The system creates a virtual copy of the patient's vasculature using 3D vessel tree data and simulates blood flow dynamics in this virtual model. By performing all alignment calculations and optimizations in this virtual copy rather than through repeated physical fluoroscopy imaging, the system achieves optimal detector positioning without exposing the patient to additional radiation
3Device complexity
If a single fixed camera position is used for the entire angiography sequence, then device complexity is reduced, but information completeness decreases for complex vessel structures
Solution Approach 1:
The system dynamically adjusts the detector position and orientation during the angiography sequence based on pre-computed optimal trajectories. Rather than using a single fixed camera position, the detector automatically moves to predetermined optimal viewing angles at different time points, maintaining low device complexity through automated control while ensuring information completeness by capturing vessels from multiple optimized perspectives
Solution Approach 2:
The system changes the detector's spatial parameters (position and orientation) according to pre-calculated optimal values that correspond to different phases of the bolus front progression. By dynamically adjusting these parameters based on the simulated blood flow patterns, the system maintains information completeness for complex vessel structures without requiring manual intervention or excessive device complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces ambiguities, enhances diagnostic information quality, and minimizes radiation exposure and alignment time by determining optimal imaging views for 3D blood flow visualization.
Implementation Method 1
projecting the volume onto a detector plane
Data Source
AI summary
The invention relates to a method and a device for determination of an optimum direction of projection or position for recording a number of two-dimensional projection images of an object of interest, with the two-dimensional projection images being recorded by rotation or translation of an imaging system around the object. Inventively the process is as follows: a) estimating a position of the object at a point in time; b) determining at least one optimum imaging view from which the optimum direction of projection and/or position is produced, for the position estimated under a) with the aid of previously determined measurement. Preferably the measurement is expressed as a function of a transformation which is described by a spatial object-imaging system relationship.