Empowering vision:DSA

Digital Subtraction Angiography (DSA) is an advanced X-ray technique used to visualise blood vessels
By digitally subtracting radiopaque structures such as bones, DSA highlights only the blood vessels, providing a detailed picture of the vascular system.
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FEATURES

Digital Subtraction Angiography (DSA) is an advanced radiographic technique for selective visualisation of the vascular system. In this process, a reference X-ray (mask) image is electronically subtracted from a sequence of images acquired after a radiopaque contrast agent is injected. With this technique, static anatomical structures (e.g. bone tissue) are deleted, highlighting only the blood vessels.
The feature that makes our DSA particularly effective is called:
Auto Shifting Pixel
It automatically aligns the mask image and images captured after the contrast agent is injected, compensating for any patient movements.
The user can define the ROI where to apply the Auto Shifting Pixel, improving alignment in the areas of interest.
Manual intervention on specific frames is always possible to optimise the performance.
DSA offers two operating modes:
- Real-time: performing the digital subtraction during the exposure
- Post-acquisition: activating the Auto Shifting Pixel feature and performing the digital subtraction after the acquisition
Strengths:
- Automatic compensation of patient movements
- Two operating modes (Real-time and Post-acquisition) to adapt to different applications
- The library can be integrated with all Windows 10 acquisition software that supports DLLs
- Compatible with any detector that meets the diagnostic standards required by the acquisition system
In the standard workflow, a plain X-ray (without contrast agent) is taken as a reference image, and the contrast agent is then administered.
In Real-time mode, the procedure continues with image subtraction, yielding an image that highlights the vascular system.
In Post-acquisition mode, however, the Auto Shifting Pixel is applied before image subtraction. This produces a final output similar to the previous one, but with better alignment in the anatomical area of interest, resulting in higher image quality.

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