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Accurate quantitative and dynamic PET imaging with the phenoPET Scanner for plant studies / von Carsten Hinz. Wuppertal, November 2021
Inhalt
Zusammenfassung
Abstract
Introduction
Theoretical Background
Radiotracers in Plant Biology
Transport System of Plants
PET Measurements of Plants
Radioactive Decay
Statistical Properties
Interaction of Particles with Matter
Interaction of Positrons and Electrons with Matter
Photons in Matter
Attenuation of Photons
Isotopes for Quantification and Radiotracers for Experiments with Plants
Detector Working Principles
Inorganic Scintillator
Silicon Photo Multipliers
Coincidence Detection and Classification
True Coincidences
Scattered Coincidences
Random Coincidences
Multiple Coincidences
Tomographic Image Reconstruction
Analytical Image Reconstruction
Iterative Image Reconstruction
Correction for Quantitative Imaging
phenoPET Setup
General Setup
Detector Setup
Digital Photon Counter and Crystal Matrix
Concentrator Board
phenoPET Operation
phenostore
DPCShell
Graphical User Interface
Improvements due to the Redesign of the Firmware
Data Organization and Preparation for Image Reconstruction
Software Framework
Configuration Files
Structure of List Mode Files and Event Structure
Clustering and Calibration
Coincidence Sorting
Control Plots of Measured Data
Image Reconstruction with PET Reconstruction Software Toolkit
System Matrix
Sensitivity Model
Random Variance Reduction
Setup for Simulation with OpenGate
Rotation System
Setup of Intermediate System
Setup of Rotation System of the Lifting Table
Confirmation of Orbiting Frequency
Coincidence Sorting and Delayed Coincidences
Sorting Algorithms
General Software Structure
Handling of Multiple Coincidences
phenoSorter: A Sector Based Coincidence Sorter
phenoGateSorter: Adaptations to the OpenGate Coincidence Sorter
Characterization with Simulated Data
Method
Results of NEMA Rat Size Scatter Phantom
Characterization with a Decay Experiment
Measurement Setup
Analysis
Results of Decay Experiment
Comparison of the Different Sorting Strategies
Possible Improvements and Further Investigations
Count Rate Corrections
Correction Model
Application of the Correction Factors in the Iterative Image Reconstruction
Setup for Determination of Count Rate Corrections
Determination of Correction Factors
Correction of Dropped and Missing Frames
Dead Time Analysis of Measured Single Events
Dead Time Analysis of Coincidence Count Rates
Resulting Correction Factors
Frame Dropping
Dead Time Correction Factors for Singles
Coincidence Dead Time Correction Factors for Module Combinations
Coincidence Dead Time Correction Factor of Total Head Curve
Validation of Dead Time Correction Factors and Investigation of Position Dependence
Comparison of Dead Time Correction Factors of Modules
Comparison of Coincidence Dead Time
Discussion
Normalization
Implemented Normalization Model
Iteration Schema and Starting Values
Test with Synthetic Data
Method
Influence of Geometric Sensitivity Widths
Influence of Overall Statistics
Normalization with a Rotating Rod Source
Measurement Setup
Preparation of Measured Data
Calculation of Expectation Values
Localization of the Normalization Phantom
Comparison of Normalization Factors
Homogenity of Normalized Data
Influences of Expectation Values
Discussion of Expectation Values
Discussion
Correction of Photon Interaction with Plants and Their Soil
Measurement of Attenuation Coefficients
Transmissions Reconstruction Algorithm
Blank Measurement for Reconstruction
Acquisition of Transmission Measurements
Correction of Transmission Source Decay
Influence of Radiation from Detector Crystals on Blank Data
Reproducibility of Rod Source Positioning
PRESTO Scatter Simulation
Simulation Procedure and Setup for phenoPET
Scatter Estimates for Image Reconstruction
Sensitivities for Scaling of Scattered Coincidences
Influence and Correction of Compton Scattering on Transmission Reconstruction
Simulation Setup and Data Analysis
Results
Discussion
Measurement Setups for Investigation of Image Quality
Transmission Reconstruction of Measurements with Scatter Correction
Image Reconstruction and Estimation of Scatter Correction
Evaluation of Attenuation Maps
Results
Discussion
Analysis of Emission Data
Convergence of Iterative Scatter Correction
Effect of Attenuation Maps on Scatter Correction
Discussion
Calculation of Calibration Factors
Method
Results
Discussion
Simulation Duration and Effect of Multiplexing
Method
Results
Outlook
Attenuation Coefficients of Different Soil Types and Hydroponics
Experimental Setup
Results
Discussion
Dependency of Attenuation on Water Uptake During a Measurement
Method
Results
Discussion
Conclusion and Outlook
Validation of Performance and Operation Stability
Temperature Stability
Temperature Behavior for Constant Activity Distributions
Temperature Behavior During a Dynamic Measurements
Consequences for Routine Operation
Performance in a Dynamic Measurement
Measurement Setup, Data Processing and Image Reconstruction
Stability over Dynamic Range
Signal-To-Noise with Noise-Equivalent Count Rates
Spatial Resolution
Phantom Preparation and Measurement
Results
Discussion
Summary
Conclusion and Outlook
Bibliography
Acronyms
Notation
Glossary
List of Figures
List of Tables
Acknowledgements
Quality of Fits: Residual Graphs and Pull Distributions
Convergence of Transmission Reconstruction
Relaxation Parameter and Number of Iterations
Method
Results and Discussion
Duration of Transmission Measurements
Method
Results and Discussion
Outlook