Autonomous Detector Modules for Scalable PET and SPECT Systems

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Solution Overview

Problem

Classical nuclear imaging systems, such as PET and SPECT, face challenges in scalability and data processing due to centralized data processing and the need for tailored readout electronics, which complicates geometry changes and leads to high downstream data processing demands.

Innovation Solution

The integration of processing electronics within autonomous detector modules (ADMs) that timestamp and energy-gate scintillation events, reducing downstream data processing and enabling a scalable detector architecture.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If processing electronics are integrated into autonomous detector modules, then scalability and ease of geometry changes are improved, but device complexity increases

Engineering Contradiction:
ImprovescalabilityVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The detector system is divided into independent autonomous detector modules (ADMs), each containing its own processing electronics, scintillation crystal array, and light detectors. This segmentation allows individual modules to be added or removed without affecting the entire system, enabling scalability and flexible geometry reconfiguration while managing complexity through modular design.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Each autonomous detector module is designed as a universal building block that can function independently or be combined with other modules. The standardized interface and integrated processing capabilities allow the same module design to serve multiple positions and configurations in the detector array, reducing overall system complexity despite the increased functionality within each module.

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

2Productivity

If processing electronics are integrated into autonomous detector modules, then downstream data processing overhead is reduced, but device complexity increases

Engineering Contradiction:
Improvedownstream data processing overheadVSAvoiddevice complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

Energy gating, timestamping, and event clustering are performed in advance within each autonomous detector module before data is transmitted to central processing. This preliminary processing reduces the amount and complexity of data that needs to be handled downstream, improving productivity while the modular architecture manages the complexity introduced by on-module electronics.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If readout electronics are tailored to exact geometry, then measurement precision is improved, but adaptability to geometry changes deteriorates

Engineering Contradiction:
Improvemeasurement precisionVSAvoidadaptability to geometry changes
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system transitions from static, geometry-specific readout electronics to dynamic, software-configurable processing within autonomous modules. Each module can be independently positioned and configured, allowing the same hardware design to adapt to different geometries while maintaining measurement precision through software-based geometric correction and calibration.

Inventive Principle:
Principle #15Dynamics

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 approach reduces downstream data processing overhead, allows for easier geometry changes, and facilitates lower data rates, especially in high-count-rate applications, by performing energy clustering and timestamping at the module level, thereby streamlining the processing load.

Implementation Method 1

a scintillation crystal array comprising one or more scintillation crystals

Methodology Applied
Scientific EffectScintillation: Scintillation

Implementation Method 2

one or more light detectors for detecting scintillation events in the scintillation crystal array

Methodology Applied
Scientific EffectPhotoelectric Effect: Photoelectric Effect

Implementation Method 3

a processing module that timestamps each detected scintillation event

Methodology Applied
Scientific EffectTime stamping:

Implementation Method 4

executes an energy-gating protocol to discriminate gamma rays that underwent Compton scatter

Methodology Applied
Scientific EffectCompton Scattering: Compton Scattering

Data Source

PatentUS9995829B2Autonomous detector module as a building block for scalable PET and SPECT systems
Publication Date: 2018.06.12 KONINKLIJKE PHILIPS NV
  • US9995829B2 patent drawing
  • US9995829B2 patent drawing
  • US9995829B2 patent drawing

AI summary

When detecting scintillation events in a nuclear imaging system, time-stamping and energy-gating processing is incorporated into autonomous detection modules (ADM) (14) to reduce downstream processing. Each ADM (14) is removably coupled to a detector fixture (13), and comprises a scintillation crystal array (66) and associated light detect or (s) (64), such as a silicon photomultiplier or the like. The light detector(s) (64) is coupled to a processing module (62) in or on the ADM (14), which performs the energy gating and time-stamping.