Multi-Energy CT Parameter Adjustment via Correlation-Based Pitch Control

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current multi-energy CT devices require manual parameter adjustments by users, leading to inter-user variations, low imaging efficiency, and accuracy issues due to the need for determining various parameters based on specific patient conditions.

Innovation Solution

A system and method that utilize a processor to determine a maximum pitch and adjust scanning parameters based on a correlation relationship, allowing for automatic parameter adjustment to improve imaging efficiency and accuracy, including obtaining a parameter set for a multi-energy CT scan, determining the maximum pitch, and adjusting parameters to achieve a target pitch for optimal scan performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual parameter adjustment is used by users, then flexibility in adapting to specific patient conditions is improved, but inter-user variations and low imaging efficiency occur

Engineering Contradiction:

Improveadaptability to patient conditionsVSAvoidimaging efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system automatically determines optimal scanning parameters (pitch, rotation velocity, collimation width, etc.) based on patient data and clinical requirements, eliminating the need for manual user adjustment. The processor autonomously selects parameters from pre-established correlation relationships, achieving both adaptability to patient conditions and high imaging efficiency without inter-user variations

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system utilizes pre-established correlation relationships between multiple scanning parameters (pitch, rotation velocity, collimation width, tube current, etc.) and automatically adjusts these parameters based on patient-specific factors. This automated parameter selection process maintains adaptability while improving efficiency and consistency

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If manual parameter adjustment is used by users, then flexibility in adapting to specific patient conditions is improved, but accuracy issues occur due to inter-user variations

Engineering Contradiction:

Improveadaptability to patient conditionsVSAvoidimaging accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The processor automatically determines optimal scanning parameters based on patient data and clinical requirements, eliminating human error and inter-user variations. The system autonomously selects parameters from pre-established correlation relationships, ensuring consistent and accurate imaging results while maintaining adaptability to different patient conditions

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses pre-established correlation relationships that encode optimal parameter combinations based on clinical data and imaging requirements. By automatically selecting parameters from these validated relationships, the system ensures accurate and consistent imaging results while adapting to patient-specific conditions

Inventive Principle:

Principle #23Feedback

3Productivity

If pitch is increased to improve scan speed, then productivity is improved, but data sufficiency and image quality deteriorate

Engineering Contradiction:

Improvescan speedVSAvoiddata sufficiency

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system automatically determines optimal pitch values based on patient data, scan type, and clinical requirements by querying pre-established correlation relationships. This automated parameter selection ensures that the pitch is optimized for both scan speed and data sufficiency, avoiding the trade-off between productivity and reliability that occurs with manual adjustment

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system dynamically adjusts the pitch parameter based on real-time patient data and scan requirements, rather than using a fixed manual setting. The processor queries correlation relationships to determine the optimal pitch for each specific scan scenario, ensuring both high scan speed and sufficient data quality

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS11963806B2Systems and methods for a parameter adjustment of a multi-energy computed tomograph device

Publication Date: 2024.04.23 SHANGHAI UNITED IMAGING HEALTHCARE

AI summary

Systems and methods for a parameter adjustment of a multi-energy computed tomography (CT) device is provided. The systems and methods may obtain, by at least one processor, a parameter set associated with a scan to be performed using a multi-energy CT device. The parameter set may include multiple scanning parameters and multiple reconstruction parameters. The systems and methods may also determine, by the at least one processor, a maximum pitch associated with the scan based on a correlation relationship and the parameter set. The correlation relationship may describe a correlation between a pitch of the multi-energy CT device and the parameter set.