Mobile Camera Tool for Anatomy-Aware Neuromodulation Programming

The patent introduces an intermediary tool (mobile device with camera and processing software) that captures fluoroscopic images, processes them to extract lead and anatomical landmark positions, and transfers this data to the programming system. This intermediary handles the complex image processing tasks, allowing the main programming system to remain relatively simple while achieving high precision targeting through the captured and processed anatomical data.

The patent creates a visual copy of the patient's actual anatomy and lead positions by capturing fluoroscopic images and processing them into a digital representation. This copied anatomical model is then used for programming, allowing precise targeting without requiring the programming system itself to be overly complex. The copied image data serves as a surrogate for the actual physical anatomy.

The patent performs preliminary actions by capturing fluoroscopic images and processing them to identify lead positions and anatomical landmarks before the actual programming begins. This pre-processing work is done using automated image analysis algorithms that detect and mark relevant features. By completing this preparatory work in advance, the system adapts to individual patient anatomy without requiring complex manual adjustments during the programming session itself, maintaining ease of operation.

The image processing system performs self-service by automatically analyzing the captured fluoroscopic images, identifying lead positions, and locating anatomical landmarks without requiring manual measurement or complex user intervention. The system uses automated algorithms to extract positioning data directly from the images, enabling adaptation to individual patient anatomy while keeping the programming process simple and easy to operate.

The patent implements periodic action by using rapid, sequential image capture followed by automated processing. The system captures a series of fluoroscopic images in quick succession, then processes them through automated algorithms that rapidly identify lead positions and anatomical landmarks. This periodic capture and processing approach enables quick adaptation to individual anatomy without requiring excessive time, as the automated processing occurs in discrete, efficient cycles rather than through prolonged manual measurement.

The patent replaces manual mechanical measurement methods with automated optical and computational systems. Instead of using physical tools and manual measurements, the system uses a camera to capture images and software algorithms to automatically process and measure anatomical features. This substitution of mechanical measurement with automated image processing dramatically reduces the time required for programming while maintaining or improving accuracy, thereby increasing productivity without excessive time loss.