Image-Guided Surgery Image Management With Real-Time Device Pose Tracking
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Solution Overview
Problem
Current image-guided surgery systems lack adequate image management, requiring surgeons to interrupt procedures for manual manipulation of medical data, provide unintuitive interfaces, and obscure regions of interest, and do not facilitate efficient image annotation.
Innovation Solution
Systems and methods for determining pose information of medical devices and 3D visualizable medical data, allowing real-time image guidance and annotation, with intuitive region manipulation and display of critical areas, enhancing surgical workflow and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual manipulation of medical data is required during surgery, then image guidance accuracy can be maintained, but surgical procedure efficiency deteriorates due to interruptions
Solution Approach 1:
The system performs preliminary registration of the medical device with the 3D medical data set before the surgical procedure begins. Pose information is determined in advance, and the system automatically maintains spatial correspondence between the device and image data throughout the procedure, eliminating the need for manual manipulation during surgery while preserving guidance accuracy
Solution Approach 2:
The system automatically tracks the medical device position and updates the image guidance display in real-time without requiring surgeon intervention. The pose determination and region of interest identification are performed autonomously by the system, allowing the surgical procedure to continue uninterrupted while maintaining accurate image guidance
2Loss of information
If comprehensive 3D medical data is displayed, then complete anatomical information is provided, but visualization of specific regions of interest deteriorates due to visual clutter
Solution Approach 1:
The system applies different visualization qualities to different regions of the display. Regions of interest identified based on medical device pose receive enhanced visualization with higher detail and contrast, while peripheral regions use reduced detail rendering. This allows comprehensive anatomical data to be available while emphasizing critical areas for surgical intervention
Solution Approach 2:
The 3D medical data set is segmented into multiple regions based on their relevance to the current surgical task. The system identifies and segments regions of interest surrounding the medical device, displaying these segments with higher fidelity while using simplified representations for less critical areas, reducing visual clutter while preserving essential information
Data Source
AI summary
Presented herein are methods, systems, devices, and computer-readable media for image management in image-guided medical procedures. Some embodiments herein allow a physician to use multiple instruments for a surgery and simultaneously provide image-guidance data for those instruments. Various embodiments disclosed herein provide information to physicians about procedures they are performing, the devices (such as ablation needles, ultrasound transducers or probes, scalpels, cauterizers, etc.) they are using during the procedure, the relative emplacements or poses of these devices, prediction information for those devices, and other information. Some embodiments provide useful information about 3D data sets and allow the operator to control the presentation of regions of interest. Additionally, some embodiments provide for quick calibration of surgical instruments or attachments for surgical instruments.