Medical Image Processing System Dynamic Post-Processing Optimization

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Solution Overview

Problem

Existing techniques for processing medical images often perform unnecessary processes in post-processing, leading to suboptimal optimization results.

Innovation Solution

An information processing system that includes a processor and memory configured to perform image analysis as a first process, and then specify and perform an optimized second process based on the processing result of the first process, using optimization information that includes correspondence between processing results and applicable processes, retention periods, and priority ranks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If post-processing is performed based on DICOM standard, then processing completeness is improved, but unnecessary processes are executed increasing processing load

Engineering Contradiction:
Improveprocessing completenessVSAvoidprocessing load
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent changes the parameter for process selection from DICOM standard-based to processing result-based. The system selects post-processing processes by referring to the actual processing results of the first process (image analysis) rather than relying on DICOM standard tags, thereby avoiding unnecessary processes while maintaining processing completeness.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements feedback by using the processing results of the first process to determine which post-processing processes should be executed. The optimization information stores correspondence between processing results and applicable processes, creating a closed-loop system where the output of one process feeds into the selection of subsequent processes.

Inventive Principle:
Principle #23Feedback

2Reliability

If all possible post-processing processes are performed, then processing comprehensiveness is improved, but storage requirements increase

Engineering Contradiction:
Improveprocessing comprehensivenessVSAvoidstorage requirements
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent applies local quality by performing post-processing processes selectively based on the specific processing results obtained from the first process. Instead of uniformly applying all possible processes, the system tailors the post-processing to the actual needs identified in the processing results, thereby reducing storage requirements while maintaining comprehensiveness where needed.

Inventive Principle:
Principle #3Local quality

3Ease of operation

If fixed post-processing sequence is used, then processing simplicity is improved, but optimization efficiency decreases

Engineering Contradiction:
Improveprocessing simplicityVSAvoidoptimization efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent transforms the fixed post-processing sequence into a dynamic one that adapts to the processing results of the first process. The system determines the sequence and selection of post-processing processes based on the actual image analysis results, making the processing flow flexible and optimized for each specific case while remaining simple to operate through automated decision-making.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS12307662B2Information processing system, information processing method, and information processing program
Publication Date: 2025.05.20 FUJIFILM CORP
  • US12307662B2 patent drawing
  • US12307662B2 patent drawing
  • US12307662B2 patent drawing

AI summary

An information processing system, an information processing method, and a non-transitory computer readable recording medium storing an information processing program that optimize a second process that is performed for a medical image after a first process are provided. An information processing system includes an automatic processing server that includes a CPU-20 and a storage unit storing instructions executable by the CPU-20, and a workstation that includes a CPU-30 and a storage unit storing instructions executable by the CPU-30. The CPU-20 carries out an image analysis for a medical image as a first process. The CPU-30 specifies a second process that depends on a processing result of the first process, from among a plurality of processes performable by a plurality of applications, and performs the second process for the medical image subjected to the first process.