Energy-Dependent Count Loss Correction in PET Scanners

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Solution Overview

Problem

Existing radiation diagnosis apparatuses, such as PET scanners, face errors in quantitative measurements due to ignoring phantom/patient dependency in count loss correction models, leading to significant errors at high count rates when the scanned object differs from the calibration phantom.

Innovation Solution

The method involves calculating an effective singles rate by aggregating count rates from different energy windows, using a linear combination of photoelectric and total event rates, to determine a more accurate count loss correction factor, which is then applied to reconstruct images, thereby minimizing errors across various scan conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a constant dead time model is used for count loss correction, then the device complexity is reduced, but measurement precision deteriorates at high count rates when the patient differs from the calibration phantom

Engineering Contradiction:
Improvecount loss correction modelVSAvoidquantitative measurement accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent transitions from a static constant dead time model to a dynamic energy-dependent dead time model. The dead time is no longer fixed but varies as a function of photon energy, allowing the system to adapt to different energy spectra encountered in various patient scans, thereby maintaining measurement precision without excessive complexity increase

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of dead time from a constant value to an energy-dependent variable. By introducing energy as a parameter that modulates the dead time value, the system can accurately correct count losses across different energy ranges and patient types, resolving the precision issue while keeping the model computationally manageable

Inventive Principle:
Principle #35Parameter changes

2Ease of operation

If the dead time calibration is performed using a standard phantom, then the ease of operation is improved, but measurement precision deteriorates when scanning patients with significantly different attenuation properties

Engineering Contradiction:
Improvedead time calibrationVSAvoidquantitative measurement accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The energy-dependent dead time model serves multiple functions: it works for both phantom calibration and patient scanning, and it adapts to different energy spectra. This universal approach eliminates the need for separate calibration procedures for different patient types, maintaining ease of operation while improving precision across diverse scanning scenarios

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

Solution Approach 2:

The patent performs preliminary energy-dependent dead time characterization using a standard phantom, storing the energy-range-to-dead-time mappings. During actual patient scans, this pre-characterized energy-dependent model is applied directly, combining the ease of initial calibration with the precision needed for diverse patient scenarios

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12193858B2Method to detect energy-dependent count loss
Publication Date: 2025.01.14 CANON MEDICAL SYST CORP
  • US12193858B2 patent drawing
  • US12193858B2 patent drawing
  • US12193858B2 patent drawing

AI summary

A method is provided for count loss correction based on detector dead time in a radiation diagnosis apparatus. The method includes acquiring scan data from a scan of a patient performed using the radiation diagnosis apparatus; determining, from the acquired scan data, a first count rate occurring in a first energy window spanning a first energy range; determining, from the acquired scan data, a second count rate occurring in a second window spanning a second energy range, the second energy range being different from the first energy range; calculating a particular count loss correction factor based on the determined first count rate and the determined second count rate; and reconstructing an image based on the acquired scan data and the calculated particular count loss correction factor.