Multi-Modality Medical Data Labeling and Indexing

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Solution Overview

Problem

Current multi-modality medical processing systems face challenges in effectively handling and processing data from various diagnostic and sensing modalities, requiring improved methods for data identification, indexing, and presentation to enhance diagnostic accuracy and efficiency.

Innovation Solution

The implementation of an enhanced method and interface for data labeling and indexing in a multi-modality medical processing system, which allows for the selection and assignment of labels to medical data across modalities, improving data handling, searching, and retrieval by using standardized terms while allowing for special cases, and refining label lists based on previous selections and procedure information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If comprehensive data collection from multiple modalities is performed, then diagnostic accuracy is improved, but data complexity and processing difficulty increase

Engineering Contradiction:

Improvediagnostic accuracyVSAvoiddata processing complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments medical data by modality type (e.g., angiography, IVUS, OCT, FFR) and applies modality-specific labeling templates and processing workflows. Each modality's data is handled through dedicated interface elements and labeling sets, allowing complex multi-modality data to be processed through standardized yet specialized pathways, thus managing complexity while maintaining comprehensive data collection

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a centralized processing system with standardized data structures and labeling frameworks that act as intermediaries between various imaging modalities and the diagnostic workflow. This intermediary layer normalizes data from different sources, enabling accurate integration without proportionally increasing processing complexity

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If detailed data labeling and indexing is implemented, then data retrieval efficiency is improved, but operator workload and time consumption increase

Engineering Contradiction:

Improvedata retrieval efficiencyVSAvoidlabeling time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent implements pre-configured labeling templates and standardized data structures that are prepared in advance for different modality combinations. During data processing, operators select from pre-defined labeling options rather than creating labels from scratch, significantly reducing labeling time while maintaining comprehensive indexing for efficient retrieval

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system provides feedback mechanisms that learn from operator labeling patterns and procedure information, automatically suggesting appropriate labels and refining the labeling process over time. This reduces operator workload while ensuring consistent and accurate data indexing

Inventive Principle:

Principle #23Feedback

3Stability of the object's composition

If standardized labeling terms are enforced, then data consistency is improved, but flexibility for special cases is reduced

Engineering Contradiction:

Improvedata consistencyVSAvoidlabeling flexibility

Core Design Contradiction:

Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The patent implements a dynamic labeling system where the available label sets are context-dependent on the selected modality, procedure type, and previously chosen labels. The system adapts the labeling framework to match the specific diagnostic scenario, providing standardized options for common cases while enabling custom labels for special situations, thus balancing consistency and flexibility

Inventive Principle:

Principle #15Dynamics

4Reliability

If comprehensive data archiving is performed, then diagnostic completeness is improved, but storage requirements and processing overhead increase

Engineering Contradiction:

Improvediagnostic completenessVSAvoiddata storage volume

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent extracts and archives only the essential diagnostic information and labeled data elements rather than storing complete raw datasets. By identifying and retaining only the diagnostically significant features through the labeling process, the system maintains diagnostic completeness while significantly reducing storage requirements and processing overhead

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS10642953B2Data labeling and indexing in a multi-modality medical imaging system

Publication Date: 2020.05.05 PHILIPS IMAGE GUIDED THERAPY CORP

AI summary

Systems and methods for multi-modality data processing are provided. Some embodiments are particularly directed to labeling and indexing multi-modality medical data. In one embodiment, a method for labeling medical data received by a multi-modality medical processing system includes receiving, by the medical processing system, medical data to be labeled. A reference set of labels corresponding to the medical data is presented at a display device. A selection of a first label from the reference set of labels is received from an interface device. A target set of labels corresponding to the medical data is presented at the display device, the target set of labels based on the first label. A selection of a second label from the target set of labels is received from the interface device. The medical data is then labeled based on the first and second labels.