Surgical Imaging Tracking Registration System
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Solution Overview
Problem
Conventional tracking systems in surgical imaging have limited resolution, making it difficult to accurately represent the location of high-resolution surgical instruments and imaging devices on preoperative images, which can affect the precision of surgical procedures.
Innovation Solution
A method and system that uses a computing device to register preoperative images with a tracking system's frame of reference, receive and register intraoperative images from multiple imaging devices with finer resolutions, and overlay these images on a display to provide accurate spatial representation of surgical instruments and areas affected during procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional tracking systems with reflective markers are used, then surgical instruments can be tracked on displays, but the resolution is insufficient to accurately represent high-resolution surgical instruments and imaging devices
Solution Approach 1:
The system segments the tracking task across multiple imaging devices with different resolutions and fields of view. Each device captures a portion of the surgical scene at high resolution, and the computing device integrates these segmented views to reconstruct the complete high-resolution spatial map, eliminating the need for low-resolution marker-based tracking.
Solution Approach 2:
The computing device acts as an intermediary that receives data from multiple imaging devices, processes their relative positions and orientations, and synthesizes a unified high-resolution spatial representation. This intermediary processing layer transforms raw data from multiple sources into accurate spatial information without requiring physical markers on surgical instruments.
2Manufacturing precision
If multiple imaging devices with finer resolutions are used, then surgical areas can be imaged with higher precision, but the complexity of registering and integrating these images increases
Solution Approach 1:
The computing device performs multiple functions simultaneously: it tracks the position and orientation of each imaging device, registers the images from different devices to a common coordinate system, integrates the high-resolution data, and generates the composite surgical map. This multi-functional approach simplifies the overall system despite handling multiple high-resolution imaging streams.
Solution Approach 2:
The system changes parameters such as field of view, resolution, and focal length across different imaging devices to capture complementary views of the surgical site. By varying these parameters strategically, the system achieves comprehensive high-resolution coverage while the computing device automatically handles the registration complexity through coordinate transformation algorithms.
Data Source
AI summary
A computing device and methods for tracking surgical imaging devices stores a preoperative image of patient tissue registered to a frame of reference of a tracking system; and receives, from a first imaging device, a first intraoperative image of a first region of the tissue, with a finer resolution than the preoperative image. The computing device receives a position of the first imaging device from the tracking system, and registers the first intraoperative image with the frame of reference. The computing device receives, from a second imaging device, a second intraoperative image of a second region of the patient tissue, with a finer resolution than the first intraoperative image. The computing device registers the second intraoperative image to the first intraoperative image; and controls a display to present the preoperative image overlaid with the first intraoperative image, and the first intraoperative image overlaid with the second intraoperative image.