CAD Support System Batch Processing Medical Imaging

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional CAD systems for medical imaging require users to manually invoke interpretation tools separately for each marked region of interest, making the process time-consuming and user-unfriendly, especially when dealing with a large number of marked regions.

Innovation Solution

The development of CAD support systems that automatically process patient data using various interpretation methods, integrating and presenting results in a manner that enables fast and efficient screening, evaluation, and diagnosis, including automated detection and marking of regions of interest, with the ability to invoke interpretation tools seamlessly for both user and CAD-specified marks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If users manually invoke interpretation tools separately for each marked region of interest, then the system can process each region individually with full control, but the process becomes time-consuming and inefficient when dealing with a large number of marked regions

Engineering Contradiction:
Improveprocessing speedVSAvoidoperation complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent combines multiple separate interpretation tool invocations into a single batch processing operation. The system allows users to select multiple marked regions of interest and invoke interpretation tools on all selected regions simultaneously, merging what would otherwise be multiple sequential operations into one efficient batch process that handles all regions together

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If the system processes a large number of marked regions individually, then each region receives thorough analysis, but the overall diagnosis process becomes time-consuming

Engineering Contradiction:
Improvedetection accuracyVSAvoiddiagnosis time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-processing and organizing marked regions into selectable groups before the actual interpretation. Users can pre-select multiple regions of interest and configure batch processing parameters in advance, so that when the interpretation tools are invoked, they automatically process all selected regions efficiently without requiring repeated manual intervention for each region

Inventive Principle:
Principle #10Preliminary action

3Productivity

If the system provides automated batch processing of patient data, then efficiency and speed are improved, but the system complexity and automation extent increase

Engineering Contradiction:
Improvescreening efficiencyVSAvoidautomation level
Core Design Contradiction:
ProductivityVSExtent of automation

Solution Approach 1:

The system implements self-service automation where the batch processing tools automatically invoke interpretation methods on selected marked regions without requiring manual invocation for each region. The system manages its own execution of multiple processing tasks simultaneously, automatically coordinating the interpretation tools and presenting consolidated results, thereby achieving high productivity with manageable automation complexity

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS7599534B2CAD (computer-aided decision) support systems and methods
Publication Date: 2009.10.06 SIEMENS HEALTHINEERS AG
  • US7599534B2 patent drawing
  • US7599534B2 patent drawing
  • US7599534B2 patent drawing

AI summary

CAD (computer-aided decision) support systems, methods and tools are provided for automated decision support for screening, evaluating, and/or diagnosing medial conditions. For example, CAD support systems and tools implement methods for automatically processing patient data for a subject patient using various interpretation methods, and integrally rending and presenting the interpretation results to a user (e.g., physician, radiologist, etc.) in a manner that enables fast and efficient screening, evaluation, and/or diagnosis of potential medical conditions of the subject patient.