Testing of an Interventional Superposition Image

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention provides an automated method for evaluating and checking the accuracy of superposition (overlaid) images used in interventional medical procedures, such as those involving fluoroscopy and X-ray imaging. The method automatically compares anatomical features or instrument positions between a real-time fluoroscopic image and a pre-operative reference image, quantifies any misalignment or discrepancies, and visually displays the degree of misalignment to the medical staff in real-time. Advanced image processing techniques, including neural networks and template matching, can be used for rapid and precise results.

Use CasesContent extracted from patent full text and abstract with AI.

• Real-time verification and quality control of image overlays during minimally invasive surgeries (e.g., stent placement, catheter positioning).
• Continuous monitoring of anatomy and instrument positions in fluoroscopy-guided interventions, especially in vascular procedures like endovascular aortic aneurysm repair.
• Support for error detection and correction during medical imaging procedures, alerting staff when overlay accuracy is poor.
• Automated suggestions for acquiring new or better angled X-ray images if overlay deviation is too large for meaningful clinical use.
• Retrofitting or upgrading existing medical imaging systems with software capable of real-time overlay quality assessment.

BenefitsContent extracted from patent full text and abstract with AI.

• Improves patient safety by ensuring higher accuracy in the positioning of devices (e.g., stents, catheters), reducing risks of error during interventions.
• Saves time and reduces cognitive load for clinical staff, as overlay accuracy and discrepancies are automatically calculated and clearly displayed, eliminating manual checks.
• Decreases the need for repeated imaging or contrast agent administration by rapidly detecting when overlay quality is sufficient, minimizing patient exposure to radiation and nephrotoxic substances.
• Facilitates prompt corrections during procedures by alerting users to significant misalignments and optionally suggesting or triggering corrective actions.
• Enables integration with existing imaging hardware and workflows via software or hardware modules, making adoption relatively straightforward.

Technical Classifications (CPCs)

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Patent Abstract

A method is for automatically checking a superposition image of a body region of interest of an examination object. The method includes determining at least one reference position of an object in a reference image; determining a current position of the object in a current fluoroscopic image; generating the superposition image by superimposing the current fluoroscopic image and the reference image; determining at least one parameter characterizing a measure of discrepancy between the at least one reference position of an object and the current position of the object in the superposition image; and displaying the measure of discrepancy determined.