Surgical Image Matching Verification Using 3D Reference Models
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Solution Overview
Problem
Current methods for surgical operation image matching in the E.N.T. field face challenges such as errors due to skin changes, inconvenience, and high costs, requiring a method that can verify and compensate matching with high accuracy in reduced time and cost.
Innovation Solution
A method involving the creation of a model with a reference body, obtaining three-dimensional reference data, applying grid patterned light to measure the three-dimensional shape using a bucket algorithm, and comparing this data with pre-operative images to calculate and correct position differences, utilizing multiple pole-shaped reference bodies for precise verification and compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a marker is attached to the skin for matching, then the matching can be performed, but error is induced by skin change
Solution Approach 1:
The patent introduces a reference body as an intermediary object that is attached to the patient's body at a stable anatomical landmark rather than directly to the skin. This reference body serves as a mediator between the patient's anatomy and the image matching system, eliminating errors caused by skin movement while maintaining reliable positioning for surgical guidance
Solution Approach 2:
The patent creates a physical model that copies the patient's anatomy from pre-operative images. This model includes a reference body positioned at corresponding anatomical landmarks, allowing verification of image matching accuracy without relying on skin-attached markers that are subject to movement and deformation
2Reliability
If a template or STAMP method is used for matching, then matching can be performed, but there is inconvenience and cost of making the stamp
Solution Approach 1:
The patent enables the surgical team to create and verify the matching model themselves using readily available materials and equipment. The reference body and model can be fabricated in the operating room or preparation area without requiring external commercial stamp-making services, reducing both cost and inconvenience while maintaining matching reliability
3Reliability
If conventional matching methods are used, then matching can be performed, but it takes long time
Solution Approach 1:
The patent performs image matching verification during the surgical preparation phase before the actual surgery begins. By establishing and verifying the accuracy of the matching model in advance, the surgical team eliminates time-consuming adjustments and validations during the procedure itself, reducing overall surgical time while maintaining high matching accuracy
Solution Approach 2:
The patent replaces complex, time-consuming manual matching procedures with a simplified physical model and reference body system. This mechanical substitution allows for rapid visual verification of matching accuracy without requiring extensive computational processing or multiple iterative adjustments, significantly reducing the time needed for matching validation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables precise matching and verification of surgical operation images, reducing time and cost by accurately measuring and compensating for position changes, ensuring high accuracy in surgical operations.
Implementation Method 1
grid patterned light is emitted onto the model with the reference body attached thereto to obtain reflection image regarding to the model with the reference body thereto
Data Source
AI summary
In order to verify a surgical operation image matching, a model of a target is manufactured. Then, a reference body is attached to the model. Then, three-dimensional reference data regarding to the model is obtained. Then, grid patterned light is emitted onto the model to obtain reflection image. Then, three-dimensional shape is measured from the reflection image, and measurement image is obtained from the three-dimensional shape. Then, the measurement image and previously obtained three-dimensional reference data are matched. Then, reference position of the target in the three-dimensional reference data is compared with estimated position of the target, which is estimated by the reference body in the measurement image. Therefore, the matching of the surgical operation can be verified.