Initial Transformation Matrix from Tracked Instrument Shapes
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Solution Overview
Problem
The registration of intraoperative imaging data with preoperative imaging data is often time-consuming, error-prone, and requires the use of fiducials or anatomical landmarks, making it inefficient and computationally expensive.
Innovation Solution
A method and system that generates an initial transformation matrix by tracking a predefined shape of an instrument relative to a patient, determining coordinates from both imaging data sets, and registering them using an initial transformation matrix.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fiducials are placed relative to the patient during acquisition of intraoperative and preoperative imaging data, then registration can be performed, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system performs preliminary actions by automatically detecting anatomical landmarks and pre-calculating the transformation matrix before final registration is needed. The processor identifies corresponding landmarks in both imaging datasets and computes the initial transformation matrix in advance, eliminating the need for time-consuming manual fiducial placement during surgery.
2Reliability
If anatomical landmarks are matched between intraoperative and preoperative imaging data, then registration can be achieved, but the process becomes time-consuming and computationally expensive
Solution Approach 1:
The system extracts only the essential information needed for registration - specifically, the coordinates of corresponding anatomical landmarks from both imaging datasets. By focusing solely on these critical points rather than processing entire datasets, the system achieves accurate registration with significantly reduced computational burden and improved efficiency.
3Adaptability or versatility
If manual registration methods are used, then flexibility is maintained, but the process becomes error-prone and inefficient
Solution Approach 1:
The system incorporates feedback mechanisms by automatically verifying the correctness of landmark identification and transformation matrix calculation. The processor compares the transformed coordinates with expected anatomical relationships, providing automated validation that reduces human error while maintaining the flexibility to handle various anatomical structures and imaging modalities.
Data Source
AI summary
Various systems and methods are provided for generating an initial transformation matrix for registering intraoperative imaging data with preoperative imaging data. Position data of a tracked instrument that is moved in a trajectory corresponding to a predefined shape relative to a patient may be received. A first set of coordinates of the position data corresponding to the predefined shape may be determined. Preoperative imaging data of the patient may be received. A second set of coordinates of the preoperative imaging data corresponding to the predefined shape may be determined. The initial transformation matrix may be generated based on the first set of coordinates and the second set of coordinates. The intraoperative imaging data may be registered with the preoperative imaging data based on the initial transformation matrix.