Medical Image Normalization for Radiology Workflows

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Radiologists face challenges in viewing and analyzing medical images from multiple sources, as existing systems lack a standardized protocol for displaying images from different facilities, leading to inconsistencies and reduced productivity.

Innovation Solution

A system that generates a normalized hanging protocol using metadata and image characteristics to standardize the display of medical images across multiple sources, allowing radiologists to work in a unified environment with enhanced productivity and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If medical images from multiple facilities are displayed using existing systems, then images can be viewed remotely, but the display layout is inconsistent and non-standardized across different sources

Engineering Contradiction:
Improveability to display images from multiple sourcesVSAvoidstandardized display layout
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system creates a universal hanging protocol that works across multiple medical facilities and imaging modalities. The normalized hanging protocol serves as a common standard that can display images from different sources (CT, MRI, X-ray, ultrasound) in a unified manner, making the system multi-functional and adaptable to various image sources while maintaining consistent display characteristics

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

2Productivity

If radiologists manually navigate through images from different facilities, then all images can be reviewed, but productivity is reduced due to inconsistent layouts requiring manual adjustment

Engineering Contradiction:
Improveradiologist image review efficiencyVSAvoidmanual image navigation
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The system performs preliminary actions by automatically generating and applying the normalized hanging protocol before the radiologist begins reviewing images. The protocol pre-organizes images from multiple facilities into a consistent layout, pre-calculates optimal windowing parameters, and pre-configures the display arrangement, eliminating the need for radiologists to manually adjust each image sequence and allowing them to immediately begin diagnostic review

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If images are transmitted independently to remote viewing sites, then remote access is enabled, but the metadata organization varies by facility causing display inconsistencies

Engineering Contradiction:
Improveremote image access capabilityVSAvoidmetadata organization variability
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system introduces an intermediary component that processes and normalizes metadata from different facilities before applying the hanging protocol. This intermediary layer translates varying metadata formats and organizational structures from different medical facilities into a standardized format, mediating between the diverse source systems and the unified display requirements, thereby enabling remote access while eliminating display inconsistencies

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS8311847B2Displaying radiological images
Publication Date: 2012.11.13 VIRTUAL RADIOLOGIC CORP
  • US8311847B2 patent drawing
  • US8311847B2 patent drawing
  • US8311847B2 patent drawing

AI summary

The subject matter of this specification can be implemented in, among other things, a system for interfacing with multiple medical imaging modalities that includes a normalization module for normalizing hanging protocols for displaying medical images. The normalization can be executed as a function of similar image characteristics shared between multiple sequences of medical images.