PET Detector State Management via Segmented Threshold and Comparative Analysis

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Solution Overview

Problem

Conventional Positron Emission Tomography (PET) apparatuses face challenges in properly managing the state of PET detectors due to unequal parameter values among detector units, which can affect image quality and are not adequately addressed by routine Quality Check (QC) processes.

Innovation Solution

The PET apparatus includes an obtaining unit to collect state information from each detector unit, a first detecting unit to identify abnormalities based on threshold values, and a second detecting unit to detect differences in index values among detector units, enabling effective management and calibration of the PET detector.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If routine Quality Check (QC) processes are used to manage PET detector state, then the QC process is simple and routine, but unequal parameter values among detector units are not adequately detected

Engineering Contradiction:
Improvedetection precision of detector unit statesVSAvoidcomplexity of detection system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The detection process is segmented into two distinct functional units: a first detecting unit that checks individual detector units against threshold values, and a second detecting unit that compares parameter values across multiple detector units. This segmentation allows each unit to specialize in a specific detection task, improving overall detection precision without requiring a single overly complex system.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The invention adds a new dimension to the detection process by comparing parameter values across the entire array of detector units (second detecting unit), not just against fixed thresholds (first detecting unit). This dimensional expansion from single-threshold checking to multi-unit comparative analysis enables detection of relative inequalities that would be missed by conventional QC processes.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If conventional QC processes are used, then the maintenance burden is high due to undetected issues, but implementing more sophisticated detection increases system complexity

Engineering Contradiction:
Improvereliability of PET detector managementVSAvoidcomplexity of detection system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The detection system is divided into two specialized units with distinct functions: the first detecting unit handles individual detector validation against thresholds, while the second detecting unit handles comparative analysis across detector units. This segmentation improves reliability by ensuring both absolute and relative anomalies are detected, while keeping each unit's complexity manageable.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system implements feedback mechanisms where the obtaining unit continuously collects state information from detector units, the first detecting unit provides feedback on individual unit status, and the second detecting unit provides feedback on relative differences. This multi-layered feedback loop enhances reliability by continuously monitoring and alerting to both absolute and relative anomalies in detector performance.

Inventive Principle:
Principle #23Feedback

3Manufacturing precision

If detailed state information is collected from each detector unit, then image quality degradation is prevented, but the data processing burden increases

Engineering Contradiction:
Improveimage quality consistencyVSAvoidtime for data processing
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The invention extracts only the essential state information parameters from each detector unit that are relevant to image quality, rather than processing all possible data. The obtaining unit selectively collects state information, the first detecting unit extracts threshold violations, and the second detecting unit extracts relative differences. This extraction of essential information prevents image quality degradation while minimizing unnecessary data processing time.

Inventive Principle:
Principle #2Taking out (Extraction)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This configuration allows for proper management of PET detector states, preventing image quality degradation by detecting and addressing unequal parameter values among detector units, even when they fall within specified ranges during QC, thereby reducing the burden of maintenance.

Implementation Method 1

a PET detector configured to detect gamma rays released as a result of positrons emitted from a tracer administered for an examined subject (hereinafter, "patient") P annihilating with electrons

Methodology Applied
Scientific EffectPositron annihilation:

Data Source

PatentUS11684322B2Positron emission tomography apparatus, method, and storage medium
Publication Date: 2023.06.27 CANON MEDICAL SYST CORP
  • US11684322B2 patent drawing
  • US11684322B2 patent drawing
  • US11684322B2 patent drawing

AI summary

A positron emission tomography apparatus according to an embodiment includes a plurality of positron emission tomography (PET) detector entities and processing circuitry. The plurality of PET detector entities are arranged in a ring formation. The processing circuitry is configured: to obtain, with respect to each of the plurality of PET detector entities, state information indicating a state of the PET detector entity; to detect an abnormality when an index value indicating a state of any individual or a whole of the plurality of PET detector entities exceeds a threshold value on the basis of the state information; and to detect a state in which the abnormality is not detected on the basis of the state information, but an index value indicating states of at least two of the plurality of PET detector entities is different from an index value indicating states of at least two other PET detector entities.