Four-Dimensional Medical Image Visualization With Cache-Based Data Exchange

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing medical image processing systems are limited by high processing costs, low efficiency, and inflexibility, requiring high-performance workstations, are difficult to operate, necessitate specialized personnel, and lack compatibility and flexibility for modern medical needs.

Innovation Solution

A four-dimensional visualization method and device utilizing a modular architecture with a perception module, control module, communication module, and processing module, employing a cache server for data exchange, enabling seamless interaction across clients and servers, and supporting master-slave synchronization for efficient data access and processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If high-performance workstations are used for medical image processing, then image processing quality is improved, but processing cost increases and system complexity increases

Engineering Contradiction:
Improveimage processing qualityVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system divides the medical image processing functionality into separate modules: image acquisition module, preprocessing module, analysis module, and visualization module. Each module can be independently configured and deployed, allowing high-quality processing without requiring a single complex high-performance workstation, thus reducing overall system complexity while maintaining processing quality.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system is designed to support multiple image processing algorithms, formats, and devices through a unified architecture. The preprocessing module can handle various image formats and the analysis module supports multiple processing algorithms, making the system universally applicable without requiring separate specialized systems for each function, thereby reducing complexity while maintaining high processing quality.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If specialized personnel are assigned to operate the system, then operation reliability is improved, but ease of operation deteriorates

Engineering Contradiction:
Improveoperation reliabilityVSAvoidease of operation
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system incorporates automated preprocessing algorithms and intelligent analysis functions that can operate without constant human intervention. The system automatically performs image preprocessing, selects appropriate processing algorithms, and generates analysis results, reducing the need for specialized operational knowledge while maintaining reliable operation through built-in quality control mechanisms.

Inventive Principle:
Principle #25Self-service

3Reliability

If professional engineers are appointed for maintenance and update, then system reliability is improved, but ease of repair deteriorates

Engineering Contradiction:
Improvesystem reliabilityVSAvoidease of repair
Core Design Contradiction:
ReliabilityVSEase of repair

Solution Approach 1:

The modular architecture allows each functional module to be independently maintained and updated. If a specific module requires maintenance, only that module needs to be accessed and repaired, rather than the entire system, significantly easing the maintenance process while maintaining system reliability through isolated fault management.

Inventive Principle:
Principle #1Segmentation

4Device complexity

If the system supports single function with limited image format, then device complexity is reduced, but adaptability deteriorates

Engineering Contradiction:
Improvedevice complexityVSAvoidadaptability
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The system is designed with universal support for multiple medical image formats (DICOM, NIFTI, MINC, etc.) and multiple processing algorithms through a standardized interface architecture. The preprocessing module can convert various formats to a standard internal format, and the analysis module can apply different algorithms, providing high adaptability without significantly increasing device complexity through standardized design.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250308673A1Method and device for four-dimensional visualization of medical image
Publication Date: 2025.10.02 RAYCAN TECH CO LTD SU ZHOU
  • US20250308673A1 patent drawing
  • US20250308673A1 patent drawing
  • US20250308673A1 patent drawing

AI summary

The present application provides a method and device for four-dimensional visualization of medical images, the medical image data is uploaded to the control module by the user via the client, the medical image data is analyzed and the analyzing result is fed back to the client by the control module, the medical image data is preprocessed by the storage server to form the cross-sectional tomographic images, dynamic three-dimensional image display is provided on the client by the processing module according to the cross-sectional tomographic images. The device comprises perception module, control module, communication module and processing module, the control module communicates with the client through the interconnection unit, the storage server communicates with the control module and the cache server respectively, the cache server communicates with the control module, the processing module communicates with the storage server, the cache server and the control module respectively. The modules of the present application can be synchronized quickly, the data access performance is improved, the operation is convenient, the expansibility is strong, the consumptions of computing resources of the network transmission data and the client are reduced, and the cost is lower.