Automatic 3D-2D Landmark Registration for Liver Surgery
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Solution Overview
Problem
Current laparoscopic surgery relies on manual or semi-automatic alignment of pre-operative 3D CT images with real-time 2D laparoscopic images, which is time-consuming and requires specialized skills, especially when organ deformation occurs during surgery.
Innovation Solution
A fully automatic method for registering 3D and 2D images using automatically identified and derived coordinates of landmarks, allowing for precise alignment without human intervention, utilizing a computer-based processing system and eliminating the need for additional equipment like ultrasound imaging systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual or semi-automatic alignment methods are used to register 3D CT images with 2D laparoscopic images, then the alignment can be performed with existing technology, but the process requires specialized skills and is time-consuming
Solution Approach 1:
The system performs automatic landmark identification and registration without requiring surgeon intervention. The computer automatically detects landmarks in both 3D CT images and 2D laparoscopic images, computes transformation parameters, and aligns the images, making the system self-sufficient and eliminating dependency on specialized operator skills
Solution Approach 2:
The patent replaces manual mechanical alignment operations with automated computer-based image processing. Instead of relying on human operators to manually register images, the system uses algorithms to automatically identify landmarks, compute transformation matrices, and align images, thereby reducing both time requirements and skill dependencies
2Measurement precision
If manual or semi-automatic alignment methods are used, then the system can handle image alignment, but it requires specialized skills from the surgical team
Solution Approach 1:
The system performs automatic landmark identification and registration without requiring surgeon intervention. The computer automatically detects landmarks in both 3D CT images and 2D laparoscopic images, computes transformation parameters, and aligns the images, making the system self-sufficient and eliminating dependency on specialized operator skills
3Ease of operation
If automatic landmark identification is implemented, then the alignment process is simplified and does not require specialized skills, but the system complexity increases
Solution Approach 1:
The patent replaces manual mechanical alignment operations with automated computer-based image processing. Instead of relying on human operators to manually register images, the system uses algorithms to automatically identify landmarks, compute transformation matrices, and align images, thereby reducing both time requirements and skill dependencies
Solution Approach 2:
The system creates a virtual model of the patient's anatomy by copying and integrating data from pre-operative 3D CT images with real-time 2D laparoscopic images. This virtual model allows for automatic landmark identification and registration without requiring complex physical equipment or specialized manual operations
4Loss of time
If 3D and 2D images are aligned automatically, then the time required for alignment is reduced, but the precision and accuracy of landmark registration must be maintained
Solution Approach 1:
The patent replaces manual mechanical alignment operations with automated computer-based image processing. Instead of relying on human operators to manually register images, the system uses algorithms to automatically identify landmarks, compute transformation matrices, and align images, thereby reducing both time requirements and skill dependencies
Solution Approach 2:
The system continuously refines the alignment by comparing automatically identified landmarks from 3D CT images with landmarks detected in real-time 2D laparoscopic images. The transformation parameters are computed and applied, with the system capable of iterative refinement to maintain high registration accuracy while operating automatically without manual intervention
Data Source
AI summary
A method for automatic registration of landmarks in 3D and 2D images of an organ comprises: using a first set of coordinates of identified first, second and third landmarks of the organ, derived from a 3D surface representation of the organ, and a second set of coordinates of the landmarks, derived from 2D laparoscopic images of the organ, to register the three landmarks as identified in the 3D surface representation with the three landmarks as identified in the 2D images. The third landmark comprises a plurality of points defining a path between two points characterizing the first and second landmarks The identification of the first, second and third landmarks in the 3D representation and the 2D images, the derivation of the first and second sets of coordinates, and the registration, based on the derived first and second sets of coordinates, are performed automatically.