3D X-Ray Isocentering Using Patient-Specific Partial Scan Areas
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Solution Overview
Problem
Existing X-ray facilities face challenges in efficiently imaging long objects within the patient's body, such as the liver or navigating medical instruments, due to incomplete coverage of the target area, complex isocentering, and dose-related issues, especially when using biplane X-ray facilities.
Innovation Solution
A computer-implemented method using a patient-specific, three-dimensional model to determine optimal partial recording areas and isocentering, aided by a digital twin of the patient and X-ray facility, to enhance imaging accuracy and reduce dose through personalized patient modeling and automated collimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a single recording arrangement is used to image long objects, then the detection area is limited, but the device complexity is reduced
Solution Approach 1:
The patent divides the imaging task into multiple segments by using multiple recording arrangements (e.g., two C-arms in biplane configuration) to capture different portions of long objects. Each recording arrangement captures a specific segment of the target area, and these segments are subsequently merged to form a complete three-dimensional image data set, thereby expanding the effective detection area without requiring a single oversized detector.
Solution Approach 2:
The patent combines multiple partial image data sets from different recording arrangements into a single merged three-dimensional image data set. The merging process integrates the segmented images while maintaining spatial relationships and anatomical context, effectively consolidating the coverage of multiple detectors to achieve comprehensive imaging of long objects.
2Area of stationary object
If biplane X-ray facility is used to simultaneously record two partial image data sets, then the coverage of target area is improved, but the device complexity increases
Solution Approach 1:
The patent makes the biplane X-ray facility multi-functional by enabling it to perform both simultaneous and sequential imaging modes. The system can simultaneously record two partial image data sets from different recording arrangements to capture large target areas, or switch to sequential mode for smaller targets, thereby maximizing the utility of the complex biplane configuration across diverse imaging scenarios.
Solution Approach 2:
The patent introduces dynamic adaptability to the biplane system by allowing flexible switching between simultaneous and sequential recording modes based on the imaging requirements. This dynamic operation enables the system to optimize its performance for different target sizes and clinical scenarios, making the complex device more versatile and easier to operate effectively.
3Measurement precision
If isocentering is performed manually using orthogonal views, then the positioning accuracy can be achieved, but the time consumption increases
Solution Approach 1:
The patent implements self-service isocentering through automated calculation methods that use readily available projection images and simple geometric relationships to determine optimal isocenter positions. The system automatically computes isocenter coordinates and generates corresponding control commands, eliminating the need for manual measurement and adjustment while maintaining high positioning accuracy.
Solution Approach 2:
The patent performs preliminary isocentering calculations before the actual imaging process begins. By pre-calculating the optimal isocenter positions based on the target area geometry and recording arrangement configuration, the system prepares the positioning information in advance, allowing rapid execution of the imaging procedure without time-consuming manual adjustments during the scan.
4Object-affected harmful factors
If collimation is used for dose reduction, then the radiation dose is reduced, but the positioning accuracy of collimator decreases
Solution Approach 1:
The patent implements feedback mechanisms that use the determined isocenter positions and target area information to dynamically adjust collimator settings. The system continuously monitors the imaging parameters and automatically refines the collimation configuration to maintain optimal positioning accuracy while minimizing radiation dose, creating a closed-loop control system that compensates for positioning errors.
Solution Approach 2:
The patent replaces manual mechanical collimator positioning with automated computational methods. Instead of relying on operator skill to manually position the collimator, the system uses algorithmic calculations based on the three-dimensional model and projection geometry to determine precise collimator settings, thereby substituting mechanical adjustment with intelligent automation to improve positioning accuracy.
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 method simplifies and accelerates the imaging process, improves anatomical navigation, reduces errors, and optimizes dose delivery by providing precise partial recording areas and automated isocentering, resulting in high-quality three-dimensional image data sets.
Implementation Method 1
an X-ray source and an X-ray detector are arranged opposite one another in order to form a recording arrangement... the recording arrangement is rotated around the patient... in order to record projection images from different projection directions
Implementation Method 2
A three-dimensional image data set may be reconstructed from the projection images using known, conventional methods (e.g., filtered back projection)
Data Source
AI summary
A method for operating an X-ray facility for recording a three-dimensional (3D) image data set of a target area of a patient is provided. A recording arrangement including an X-ray detector and an X-ray source may be rotated about an axis of rotation for recording two-dimensional projection images based on the image data set. A model instance of a parameterizable patient model that is patient-specific and 3D is determined. Target area information describing the target area is determined in the model instance from default information. At least two at least partially different partial recording areas of the target area are determined from the target area information. The partial recording areas cover the target area along the axis of rotation. One projection image set is recorded for each of the partial recording areas, and the image data set is reconstructed from the projection image sets.