Three-in-One Stent Visualization Breaks Tradition With Precision, Speed, And 99% Accuracy
Stent Enhancement is an advanced medical imaging technology that leverages DSA imaging data and applies specialized algorithms with image processing techniques to deliver detailed 3D reconstruction of stented blood vessels. It provides clear, accurate, and comprehensive visualization of the stent's position, morphology, and adherence to the vessel wall. In addition, it enables assessment of the stent's impact on the vessel-offering critical insights into deployment status, migration, and restenosis. This serves as an essential reference for physicians when formulating treatment plans.
As modern medicine advances toward minimally invasive surgery and precision care, a quiet transformation is reshaping cardiovascular diagnosis and treatment. Confronted with increasingly complex lesions and higher clinical demands, traditional stent implantation is still constrained by the limits of the naked eye. Now, WeMed Medical has introduced pioneering "three-in-one" stent visualization technology - delivering microscopic, near-molecular insights along the millimeter-scale pathways of life.
Three-in-One: Redefining Computing and Leading a New Technological Era
Early cardiovascular interventional procedures faced numerous challenges, particularly in observing stent status. In the 1990s, physicians could only rely on grayscale DSA images to assess stent deployment. The contrast between the metal struts and the vessel wall was minimal, leading to a high error rate and requiring judgments based largely on clinical experience.
Around 2010, static stent visualization (conventional stent visualization) emerged. By enhancing the metal signal, the stent could be "visualized and frozen" in a two-dimensional plane, but it still could not address challenges such as dynamic vessel adhesion or provide real-time guidance during complex procedures.
In 2018, real-time stent visualization technology emerged, marking the first leap from static to dynamic imaging and greatly improving frame rates. Physicians could finally observe the stent "dancing" within the blood vessels in real time, providing significant support in treating tandem stents and branch lesions. However, when a patient's heart rate accelerates or contrast agent concentration fluctuates, the image can become distorted-like ripples on water-making it difficult to maintain focus.
Subsequently, subtraction stent precision imaging was introduced, enabling improved observation of stent-wall adhesion. However, traditional subtraction stent precision imaging is considered a "luxury"-it requires two rotational acquisitions, one high-dose angiography, and up to ten minutes of offline reconstruction. The workflow is complex and time-consuming.
With the integration of AI and robotics, WeMed Medical's "three-in-one" stent visualization technology addresses all of these clinical challenges. For the first time, it combines three modes-standard stent visualization, real-time stent visualization, and subtraction stent visualization-into a single platform. Currently, most industry competitors still rely on single-or dual-mode systems. In addition, a new AI algorithm has significantly enhanced both the accuracy and speed of stent image processing.
10ms Reconstruction & 99% Recognition: Decoding the Technology Breakthrough
Leveraging proprietary AI algorithms and non-rigid registration technology, WeMed Medical has seamlessly integrated underlying algorithms with multimodal data in its system architecture, to offer a full-process stent visualization solution. This "three-in-one" solution allows physicians to observe stent status from every angle during surgery, with flexible mode-switching tailored to the requirements of each procedural stage. Covering the entire clinical lifecycle-from preoperative planning to postoperative follow-up-it greatly simplifies workflow, enhances surgical efficiency, and significantly broadens clinical applicability. By delivering "one device, one comprehensive solution," WeMed Medical elevates the clinical value of stent visualization and reinforces its leading position in the field.
The intelligent AI detection algorithm for Mark points is a key feature of Stent Precision. During stent deployment, the system automatically identifies and captures the Mark points at both ends of the balloon. Using the coordinates of these points, the algorithm constructs a "digital skeleton" of the stent. By employing Hessian matrix eigenvalue analysis and multi-scale factor calculations, it accurately restores the stent's true shape within the vessel, enabling dynamic tracking and 3D reconstruction. Leveraging AI training and deep learning models, the algorithm quickly and accurately extracts critical image information to determine balloon position and the stent skeleton line. It achieves a Mark point recognition accuracy of up to 99%, a significant improvement over traditional recognition rates of 50–60%.
In complex regions such as bifurcated vessels and overlapping long lesions, precise stent positioning is critical. Improper placement can disrupt normal blood flow or even damage the vessel. WeMed Medical's stent visualization employs high-frequency enhancement and low-frequency suppression to emphasize the stent's metal structure while reducing interference from surrounding soft tissue. By performing image subtraction across different time frames, it removes static structures such as bones and catheters, highlighting the relationship between the stent and the vessel. Additionally, AI algorithms automatically identify the stent's marker points (Mark points) to enable dynamic tracking and 3D reconstruction, effectively addressing the challenges of complex clinical procedures.
In complex regions such as bifurcated vessels and overlapping long lesions, precise stent positioning is critical. Improper placement can disrupt normal blood flow or even cause vascular damage. WeMed Medical's stent visualization employs high-frequency enhancement and low-frequency suppression to highlight the stent's metal structure while minimizing interference from surrounding soft tissue. It also uses image subtraction across different time frames to remove static structures such as bones and catheters, emphasizing the relationship between the stent and the vessel. Additionally, AI algorithms automatically identify the stent's marker points (Mark points) to enable dynamic tracking and 3D reconstruction, effectively addressing the challenges of complex clinical procedures.
