X-ray Tomosynthesis Reconstruction Using Object Extension Data
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Solution Overview
Problem
Conventional X-ray tomosynthesis methods are imprecise in reconstructing the entire depth of an examination object, as they rely on fixed reconstruction areas specified by protocols or user input, which are not tailored to the current examination object, and require complex calculations and segmentation methods.
Innovation Solution
A computer-implemented method that uses extension information specific to the examination object, ascertained from measurement data, to parameterize the reconstruction process, allowing for automatic and precise determination of the object's boundaries in the X-ray device's coordinate system, using measuring devices like 3D cameras or distance sensors, independent of the capturing arrangement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed extension area is specified in dependence on a capturing protocol or user input, then the reconstruction process can be parameterized, but the precision and reliability of the reconstruction is reduced because it is not tailored to the current examination object
Solution Approach 1:
The system automatically determines the extension of the examination object using measurement data from the measuring device, without requiring manual input or protocol-based fixed values. The reconstruction process parameterizes itself based on the actual object dimensions detected, eliminating the need for user specification while improving precision.
2Measurement precision
If extension information is ascertained from measurement data of a measuring device, then the determination of object boundaries is simple and reliable, but additional measuring devices and measurement data processing are required
Solution Approach 1:
The measuring device, which is already part of the X-ray system for capturing projection images, is also used to determine the extension of the examination object. This multi-functional use of the measuring device avoids adding separate hardware while achieving precise boundary determination through the same component.
3Device complexity
If conventional tomosynthesis methods are used with fixed reconstruction areas, then the imaging process is simple, but the ability to reconstruct the entire depth of the examination object is compromised
Solution Approach 1:
The reconstruction process transitions from using fixed, protocol-based extension areas to dynamically adapting the reconstruction parameters based on real-time measurement data of the examination object's actual extension. This dynamic parameterization ensures the entire object depth is captured while maintaining process simplicity.
Data Source
AI summary
A computer-implemented method for operating an X-ray device during an imaging process on an examination object, comprises: ascertaining extension information from measurement data of at least one measuring device, the extension information describing extension of the examination object in at least one spatial direction; and parameterizing a reconstruction process based on the extension information; wherein an image dataset covering a reconstruction area is reconstructed in the reconstruction process from projection images of the examination object, which are captured in different projection geometries of an X-ray emitter relative to an X-ray detector of the X-ray device.