Automated Transfer Function Selection for 3D Medical Visualization

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Solution Overview

Problem

Conventional methods for creating 3D models of biological tissues or mechanical components require manual customization of transfer functions, which is time-consuming and prone to inconsistencies.

Innovation Solution

A computer system method that automatically determines a transfer function for 3D models by storing and comparing histograms derived from medical scans, allowing for the selection or generation of an appropriate transfer function based on similarity scores.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual customization of transfer functions is performed, then the 3D model visualization can be optimized for specific images, but the process becomes time-consuming and labor-intensive

Engineering Contradiction:

Improvevisualization accuracyVSAvoidprocessing time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system pre-computes and stores transfer functions for a database of reference images before receiving new input images. When a new image arrives, the system automatically searches the pre-existing database for matching transfer functions, eliminating the need for manual computation and reducing processing time while maintaining visualization accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system copies and reuses existing transfer functions from the database that are similar to the current input image characteristics. By copying proven transfer functions rather than creating new ones manually, the system achieves optimized visualization quickly without the time cost of manual customization.

Inventive Principle:

Principle #26Copying

2Manufacturing precision

If customized transfer functions are created for each image, then the visualization quality improves, but the complexity and workload increase

Engineering Contradiction:

Improvemodel accuracyVSAvoidsystem complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system creates a universal database of transfer functions that can be applied across multiple different images and scenarios. This single database serves multiple purposes: it stores reference transfer functions, enables automatic retrieval, and provides a foundation for generating new transfer functions, thereby reducing overall system complexity while maintaining high accuracy.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system performs self-service by automatically selecting appropriate transfer functions from the database based on image characteristics without requiring manual intervention. This automation reduces the complexity of the workflow while maintaining the precision of customized transfer functions.

Inventive Principle:

Principle #25Self-service

3Loss of time

If existing transfer functions are reused, then time is saved, but manually searching for appropriate functions becomes time-consuming

Engineering Contradiction:

Improveprocessing timeVSAvoiduser effort

Core Design Contradiction:

Loss of timeVSEase of operation

Solution Approach 1:

The system replaces the mechanical manual search process with an automated computational search algorithm. The algorithm automatically compares input image characteristics against stored transfer functions in the database, eliminating the need for users to manually search and review options, thereby saving time and reducing effort.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system incorporates feedback mechanisms where the automatically selected transfer function is based on feedback from image analysis (such as histogram comparison). This feedback loop ensures that the most appropriate transfer function is automatically retrieved, making the process both time-saving and user-friendly.

Inventive Principle:

Principle #23Feedback

4Productivity

If automated transfer function selection is implemented, then time and resources are saved, but the system complexity increases

Engineering Contradiction:

Improveprocessing efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by pre-computing and storing transfer functions in a database before actual processing is needed. This preliminary preparation enables fast automated retrieval during processing, achieving high productivity without requiring complex real-time computation, thus managing system complexity effectively.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12340479B2System and method for automatic transfer function

Publication Date: 2025.06.24 SURGICAL THEATER INC

AI summary

A system and method comprising a computer system and database configured using artificial intelligence software for storing historical histograms derived from images of particular biological features of different patients. The stored histograms are each associated with a transfer function that can be used in a 3D model of the biological features to allow users of the model to better observe particular features of the model. The system will automatically determine a transfer function for a new scan(s) by deriving a current histogram of the new scan, comparing this current histogram with the historical histograms stored in the database, and selecting the histogram that is closest to the current histogram based on certain features. The transfer function associated with the closest histogram is then used to obtain a new transfer function for the current histogram for use in a 3D model of the new scan(s).