Anatomical Region-Based Medical Image Editing for Faster Evaluation

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Solution Overview

Problem

Evaluating medical images, particularly three-dimensional images like CT or MRI, is time-consuming and costly due to the need to consider extensive patient information and often requires consultation with a specialist radiologist.

Innovation Solution

A computer-implemented method that receives a medical image and patient information, determines an anatomical region, selects an editing tool based on this region, applies the tool to edit the image, and provides the edited image, which can include labeling, highlighting, or annotating regions of interest, thereby simplifying the evaluation process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a radiologist manually evaluates medical images and patient information, then diagnostic accuracy is maintained, but evaluation time and costs increase significantly

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidevaluation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent introduces an intermediary system comprising a computing device that automatically determines anatomical regions from medical images and patient information, then selects and applies appropriate editing tools. This intermediary processes data between the raw medical images and the radiologist, pre-processing and organizing information to reduce evaluation time while maintaining diagnostic accuracy through automated region identification and tool-based enhancement.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If extensive patient information is considered during evaluation, then diagnostic reliability improves, but the complexity of the evaluation process increases

Engineering Contradiction:
Improvediagnostic reliabilityVSAvoidevaluation process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the complex evaluation process into distinct automated components: (1) determining anatomical regions from medical images and patient information, (2) selecting appropriate editing tools based on the identified regions, and (3) automatically applying these tools to generate edited images. This segmentation reduces evaluation process complexity by breaking down the overwhelming task of considering extensive patient information into manageable, automated steps that maintain diagnostic reliability.

Inventive Principle:
Principle #1Segmentation

3Measurement precision

If specialist consultation is required for image evaluation, then diagnostic quality improves, but costs and time consumption increase

Engineering Contradiction:
Improvediagnostic qualityVSAvoidevaluation efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent implements self-service functionality through automated systems that perform tasks previously requiring specialist radiologist intervention. The computing device automatically determines anatomical regions, selects appropriate editing tools, and generates edited medical images without requiring specialist consultation for these preliminary steps. This enables routine evaluation tasks to be handled autonomously, improving productivity while maintaining diagnostic quality for complex cases.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12555674B2Method for providing an edited medical image obtained by applying a tool selected based on an anatomical region
Publication Date: 2026.02.17 SIEMENS HEALTHINEERS AG
  • US12555674B2 patent drawing
  • US12555674B2 patent drawing
  • US12555674B2 patent drawing

AI summary

A computer-implemented method for providing an edited medical image, comprises: receiving a medical image depicting an examination region of a patient; receiving patient information for the patient; determining an anatomical region based on the medical image and the patient information, wherein the examination region includes the anatomical region; selecting a tool based on the anatomical region, wherein the tool is configured to edit the medical image; applying the selected tool to the medical image to obtain the edited medical image; and providing the edited medical image.