Inline View Determination for Spinal Navigation
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Solution Overview
Problem
In medical image-guided surgery, particularly spinal navigation, existing systems require significant manual interaction to display relevant anatomical information, and existing 2D views are not optimally oriented to focus on the region of interest, leading to unstable and less effective surgical views.
Innovation Solution
A computer-implemented method that automatically calculates and adjusts 2D views centered on relevant anatomy, using algorithms for spine detection and anatomical atlases, and dynamically switches and zooms views based on instrument location and surgical steps to provide optimized, situation-specific views, reducing manual interaction and enhancing focus on the region of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual interaction is used to configure and adjust 2D views in image-guided surgery, then the surgeon can customize views according to specific needs, but the complexity of operation increases and time is consumed
Solution Approach 1:
The system automatically detects the spinal column anatomy, calculates the view center and orientation, and configures inline views without requiring manual surgeon intervention. The computer-implemented method performs anatomy detection, view center calculation, and view orientation determination autonomously, allowing the system to serve itself in the view configuration process.
Solution Approach 2:
The system performs preliminary automatic configuration of 2D views before the surgical procedure begins. By pre-calculating the view center based on detected anatomy and pre-orienting the inline views according to the surgical approach, the system prepares optimal views in advance, eliminating the need for time-consuming manual adjustments during surgery.
2Ease of manufacture
If simple axial/coronal/sagittal views are used, then the system is easy to implement, but the views are not optimally oriented to focus on the region of interest
Solution Approach 1:
The system dynamically adjusts the view orientation from fixed standard planes (axial/coronal/sagittal) to dynamic inline views that are automatically oriented based on detected anatomy and surgical approach. The view center and orientation are calculated dynamically to follow the spinal column anatomy and maintain optimal focus on the region of interest throughout the procedure.
Solution Approach 2:
The system applies local quality by orienting views specifically according to the local anatomy detected in each region. Instead of using uniform standard planes throughout, the inline views are locally adapted to the spinal column's specific orientation and curvature at each level, providing anatomically optimized views for each surgical site.
3Reliability
If inline views are centered on the instrument tip, then the instrument position is always visible, but the views are less stable and the region of interest may not be optimally focused
Solution Approach 1:
The system introduces an intermediary element - the detected spinal column anatomy - between the instrument tip and the view center. Instead of directly centering on the instrument tip, the view center is calculated based on the anatomical landmark, which serves as a stable reference frame. This intermediary anatomical reference provides stability while the instrument position remains visible in the contextualized anatomical view.
4Ease of operation
If standard 2D views are used without automatic adjustment, then the system is simple to operate, but manual interaction is required and views do not adapt to different surgical steps
Solution Approach 1:
The system transitions from static standard views to dynamic adaptive views that automatically adjust according to different surgical steps and instrument locations. The computer-implemented method continuously monitors the surgical context and re-orients inline views accordingly, providing adaptability without requiring manual operational changes from the surgeon.
Data Source
AI summary
The present invention relates to a computer-implemented medical data processing method for determining a 2D-view within an acquired 3D-image-dataset of a patient, wherein the method comprises executing, on a processor of a computer, the following steps: a) a representation of at least one anatomical structure (2) of interest is identified in the 3D-image-dataset and registered with the at least one anatomical structure (2); b) the spatial position of the at least one anatomical structure (2) and the spatial position of a predetermined section of a medical instrument (1) are determined in real space; c) the 2D-view is determined within the 3D-image-dataset, wherein the view-plane of the 2D-view is defined on the basis of the spatial position of the medical instrument (1), and wherein the view-center (B) of the 2D-view is defined on the basis of the relative spatial position of a predetermined section of the medical instrument (1) and the at least one anatomical structure (2); d) the relative position of the defined view-center with respect to a predetermined section of the medical instrument (1) is maintained in the 2D-view. The present invention further relates to a corresponding computer program, a corresponding program storage medium and a corresponding system for performing such method.