3D-2D Registration for Motion Artifact Reduction in Subtraction Imaging
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Solution Overview
Problem
Existing digital subtraction imaging techniques suffer from motion artifacts due to imperfect alignment between pre-contrast mask images and contrast-enhanced images, leading to sub-optimal subtraction and reduced visibility of blood vessels.
Innovation Solution
A device and method for digital subtraction imaging that registers 3D image data with 2D live X-ray images, adapting the 3D data to match the 2D live image characteristics, including adjustments for spectrum, scatter, and resolution, to generate an adapted 2D mask image for accurate subtraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional digital subtraction imaging is used with pre-contrast mask images, then the visualization of blood vessels is improved, but motion artifacts occur due to misalignment between mask and live images
Solution Approach 1:
The system performs preliminary registration and adaptation of the 3D mask image data to the 2D live X-ray image before subtraction. This includes determining a matching pose of the 3D image data corresponding to the 2D live image and computing a digitally reconstructed radiography that is adapted to current live image characteristics, thereby preparing the mask image in advance to match the live image geometry and reduce motion artifacts
Solution Approach 2:
The system dynamically adapts the 3D mask image data to the current 2D live X-ray image characteristics using current acquisition parameters and image data. This dynamic adaptation process adjusts the digitally reconstructed radiography to match the actual live image conditions, making the subtraction process robust against patient motion and varying imaging conditions
2Measurement precision
If 3D image data is registered with 2D live X-ray images, then the accuracy of subtraction is improved, but the device complexity increases
Solution Approach 1:
The system creates a digitally reconstructed radiography (a 2D copy) from the 3D image data that mimics the appearance and characteristics of the actual 2D live X-ray image. This copied representation is then adapted to match the live image characteristics, allowing accurate subtraction without requiring complex real-time 3D-to-2D transformation during the subtraction process itself
Solution Approach 2:
The system changes parameters of the 3D image data during the adaptation process, adjusting properties such as spectrum, scatter, and resolution to match the current 2D live X-ray image characteristics. This parameter adaptation simplifies the subtraction process by making the mask image conform to the live image conditions rather than requiring complex geometric transformations
Data Source
AI summary
The present invention relates to subtraction imaging. In order provide further improved accuracy of masking images, a device (10) for digital subtraction imaging is provided comprising an image data input (12), a data processor (14) and an output interface (16). 3D image data (22) of a region of interest of an object is received that comprises a 3D representation of the object based on a reconstruction from a plurality of 2D projection images. Further, a 2D live X-ray image (24) of the region of interest is received. The 3D image data and the 2D live X-ray image are registered, wherein a matching pose of the 3D image data corresponding to the 2D live X-ray image is determined. A digitally reconstructed radiography is computed from the 3D image data based on the determined matching pose to generate a 2D mask image. For the 2D mask image, current data related to the 2D live X-ray image is used to achieve an adapted 2D mask image, wherein the data related to 10 the 2D live X-ray image comprises 2D live acquisition parameters and/or data of the 2D live X-ray image. The generated adapted 2D mask is subtracted image from the 2D live X-ray image a digital image highlighting changes in the region of interest is provided.