Sensitivity Calibration Using Energy Response State Tracking

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Solution Overview

Problem

Existing SPECT systems face challenges in accurately calibrating sensitivity to adapt to continuous changes in the state of the target system, leading to inadequate calibration between successive sensitivity measurements.

Innovation Solution

A method is provided to establish a mapping relationship between calibration parameters and state variations of the target system by obtaining energy responses at different times, determining state variations, and calibrating sensitivity based on this relationship using energy window and scale factor adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If time-periodic sensitivity calibration is performed using liquid or solid radioactive sources, then the system sensitivity can be calibrated at discrete intervals, but the calibration effect becomes inadequate between successive calibrations as the system state continuously evolves

Engineering Contradiction:
Improvesensitivity calibration accuracyVSAvoidcalibration cycle duration
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements periodic sensitivity calibration using liquid or solid radioactive sources at discrete time intervals. This periodic calibration approach allows the system to be calibrated at specific moments while operating continuously, balancing the need for accurate calibration with the practical constraints of time and resource availability.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The patent employs feedback mechanisms where the measured sensitivity values from periodic calibrations are used to adjust and optimize the calibration process. The system continuously monitors and compares sensitivity measurements, using the feedback information to refine calibration parameters and maintain accuracy between calibration events.

Inventive Principle:
Principle #23Feedback

2Adaptability or versatility

If the system sensitivity is calibrated periodically, then the calibration process can be managed at discrete intervals, but the system cannot accurately adapt to continuous changes in the target system state

Engineering Contradiction:
Improveadaptation to system state changesVSAvoidcalibration effectiveness
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent transitions from static, fixed-interval calibration to a dynamic calibration approach where calibration timing and parameters are adjusted based on detected changes in system state. The system continuously monitors target characteristics and adapts the calibration process dynamically, performing calibration when state changes exceed predefined thresholds, thereby improving adaptability while maintaining reliability.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements preliminary monitoring of system state parameters to detect changes before they significantly impact measurement accuracy. By continuously tracking system state variations and predicting when calibration will be needed, the system prepares and executes calibration at optimal moments, enhancing both adaptability and calibration effectiveness.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20260056337A1Method for sensitivity calibration
Publication Date: 2026.02.26 SHANGHAI UNITED IMAGING HEALTHCARE
  • US20260056337A1 patent drawing
  • US20260056337A1 patent drawing
  • US20260056337A1 patent drawing

AI summary

A sensitivity calibration method includes: obtaining a mapping relationship between a plurality of groups of calibration parameters and a plurality of state variations of a target system; obtaining a first energy response during a first time period and a second energy response during a second time period; wherein the target system is in a first state during the first time period, and the target system is in a second state during the second time period; determining a state variation of the target system in the second state relative to the first state based on a comparison result of the first energy response and the second energy response; calibrating a sensitivity of the target system based on the mapping relationship between the plurality of groups of calibration parameters of the target system and the plurality of state variations of the target system and the current state variation of the target system.