Medical Image Processing Device for Efficient Data Selection

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Solution Overview

Problem

Medical image processing devices face challenges in efficiently selecting suitable combinations of medical image data for specific procedures, leading to cumbersome operations, potential errors, and increased time consumption due to inadequate ID information and complex data management.

Innovation Solution

An image processing device equipped with input, extraction, evaluation, and selection means that utilizes attribute information to present suitable medical image data combinations to users, simplifying the selection process and automating the prioritization and drawing settings for efficient image processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the imaging device attaches Study ID and Series ID information to medical image data, then the data can be organized and stored, but it becomes difficult to select suitable combinations of medical image data for specific image processing procedures

Engineering Contradiction:
Improveadaptability of medical image data to different image processing proceduresVSAvoidease of selecting suitable medical image data combinations
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent segments the selection process into two parts: automatic extraction of candidate combinations based on ID information, and manual selection from presented options. This divides the complex task of selecting suitable medical image data combinations into an automated filtering step and a simplified user decision step, making the overall process more manageable and adaptable to different procedures.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary system (the image processing device) that automatically extracts and presents suitable medical image data combinations based on ID information matching. This intermediary acts as a mediator between the stored medical image data and the user's selection needs, reducing the complexity of direct user search and selection while maintaining adaptability to different procedures.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If the user manually searches for and specifies combinations of medical image data, then suitable data can be selected for each procedure, but the operation becomes troublesome and time-consuming

Engineering Contradiction:
Improveprecision of selecting suitable medical image data combinationsVSAvoidtime required for selecting and specifying medical image data
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary action by automatically extracting and presenting candidate medical image data combinations before the user makes a selection. The system pre-processes the data selection task by matching ID information and generating suitable combinations, so that the user only needs to review and select from pre-prepared options rather than searching from scratch each time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent enables self-service by allowing the system to automatically perform the data extraction and combination generation tasks that would otherwise require manual user effort. The image processing device serves itself by autonomously identifying suitable medical image data combinations based on stored ID information, reducing the burden on the user while maintaining selection precision.

Inventive Principle:
Principle #25Self-service

3Productivity

If the user specifies combinations of medical image data from memory device, then the desired data can be obtained, but the operation is stressful and may interfere with proper medical practice

Engineering Contradiction:
Improveproductivity of medical image processingVSAvoidease of specifying medical image data combinations
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The patent introduces an intermediary system that automatically extracts and presents suitable medical image data combinations based on ID information matching. This intermediary acts as a mediator between the stored medical image data and the user's selection needs, reducing the complexity of direct user search and selection while maintaining adaptability to different procedures.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent enables self-service by allowing the system to automatically perform the data extraction and combination generation tasks that would otherwise require manual user effort. The image processing device serves itself by autonomously identifying suitable medical image data combinations based on stored ID information, reducing the burden on the user while maintaining selection precision.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS8244010B2Image processing device and a control method and control program thereof
Publication Date: 2012.08.14 ZIOSOFT
  • US8244010B2 patent drawing
  • US8244010B2 patent drawing
  • US8244010B2 patent drawing

AI summary

An image processing device that quickly performs suitable image processing by using an input device to point at an image displayed on the medical image processing device, and makes it possible to readily observe medical images needed for a medical procedure. The medical image processing device includes: an input element by which medical information that includes at least patient information, and the image processing type that uses the medical image data is input; an extraction element for extracting combinations of the medical image data that conform to the patient information and the image processing type; an evaluating unit for evaluating out combinations of medical image data that have the highest possibility of being used; an information reporting unit for reporting of the combinations of medical image data and evaluating result information; and a selection unit for prompting a user to select the combination of medical image data.