Anatomical Structure Segmentation Correction via Deformation Model
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current medical image segmentation tools cannot simultaneously modify multiple anatomical structures while respecting anatomical constraints, requiring separate modifications for each object and lacking consideration for inter-structural relationships.
Innovation Solution
A computer-implemented method that uses an atlas and geometric transformability model to segment medical patient images, allowing simultaneous modification of multiple structures by applying user interactions while adhering to anatomical constraints, such as physical connections and non-penetration boundaries, through a grid-based deformation model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current modification tools are used to modify anatomical structures, then one object can be modified at a time, but multiple structures cannot be modified simultaneously while respecting anatomical constraints
Solution Approach 1:
The patent merges multiple separate modification operations into a single unified operation. When a user modifies one anatomical structure, the system automatically propagates the modification to other related structures through a deformation field that respects anatomical constraints. This allows simultaneous modification of multiple structures (improving versatility) while maintaining anatomical relationships (preserving reliability).
Solution Approach 2:
The system implements feedback by continuously monitoring anatomical constraints during the modification process. When a structure is modified, the system calculates the impact on neighboring structures and adjusts the deformation accordingly to maintain anatomical validity. This feedback mechanism ensures that modifications remain reliable while enabling multi-structure adaptation.
2Ease of operation
If separate modifications are applied to each object, then anatomical constraints are not considered, but consistent modification across multiple objects cannot be achieved
Solution Approach 1:
The system performs preliminary action by pre-defining anatomical constraints and relationships between structures before the modification process begins. These constraints are encoded into the deformation model in advance, so when modifications are applied, the system automatically respects the pre-established anatomical rules. This maintains structural consistency without complicating the user operation.
Solution Approach 2:
The patent segments the modification process into independent local deformations that are then integrated globally. Each anatomical structure can be modified independently through simple user interactions, but the segmentation is performed in such a way that the local changes are coordinated through the deformation field to maintain overall anatomical consistency. This achieves both ease of operation and structural stability.
3Reliability
If anatomical constraints are enforced during modification, then anatomical integrity is maintained, but the complexity of the modification system increases
Solution Approach 1:
The system introduces a deformation field as an intermediary between user input and the final modification result. The user provides simple modification commands, and the deformation field acts as a mediator that automatically enforces anatomical constraints while generating the final modified structures. This intermediary approach maintains anatomical integrity without requiring the user to directly manage complex constraint systems.
Solution Approach 2:
The modification system performs self-service by automatically calculating and applying constraint-based adjustments without requiring additional user input. When a structure is modified, the system autonomously determines the necessary adjustments to other structures based on pre-defined anatomical relationships. This self-service mechanism maintains anatomical integrity while keeping the user interface simple and the system complexity hidden from the user.
Data Source
AI summary
Disclosed is a computer-implemented method of segmenting a medical patient image using an atlas and relating the segmentation result to a model of possible geometric changes to the segmentation result (e.g. for correcting the position of the segmentation of anatomical structures) which consider for example anatomical limitations. The thus-related segmentation result may be used as a basis for changing and/or correcting the position, shape and/or orientation of at least parts of the segmentation result, e.g. by user interaction. The invention also relates to an atlas data set comprising information such as values of the variables of the model of possible geometric changes in relation to the positions of anatomical structures in the atlas.


