Digital Signal and Image Processing in Jagiellonian Positron Emission Tomography.

The Jagiellonian PET (J-PET) Collaboration developed a novel whole-body PET scanner based on plastic scintillators, which reduce the high cost of PET scanners. Lech Raczyński presents new approaches to developing signal and image processing algorithms that take into account the specifications of th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Raczyński, Lech
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Krakow : Jagiellonian University Press, 2022.
Temas:
Tomography, Emission.
Signal processing > Digital techniques.
Image processing.
Tomography, Emission-Computed
Tomographie par émission.
Traitement du signal > Techniques numériques.
Traitement d'images.
image processing.
Image processing
Signal processing > Digital techniques
Tomography, Emission
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • Acknowledgements
  • Contents
  • Abbreviations
  • Preface
  • 1. Introduction
  • 2. Positron Emission Tomography
  • 2.1 Interaction of photons with matter
  • 2.2 Detection of photons
  • 2.3 Introduction of the Jagiellonian PET detector
  • 3. Algorithmic background
  • 3.1 Compressive Sensing
  • 3.2 Total Variation regularization
  • 3.3 Self-Organized Maps
  • 4. Low-level data processing inJagiellonian PET
  • 4.1 Model of signal waveform registered on photomultiplier
  • 4.3 Reconstruction of photon interaction position in scintillator
  • 4.4 Prediction of theoretical resolutions of the J-PET scanner
  • 5. High-level data processing in Jagiellonian PET
  • 5.1 Event classification in the J-PET detector
  • 5.2 Image reconstruction using Total Variation regularization
  • 6. Results
  • 6.1 Experimental and simulation scenarios
  • 6.2 Recovery of signal waveform based on limited number of samples
  • 6.3 Reconstruction of photon interaction position in scintillator
  • 6.4 Prediction of theoretical resolutions of the J-PET scanner
  • 6.5 Event classification in the J-PET detector
  • 6.6 Image reconstruction using Total Variation regularization
  • 7. Conclusions and summary
  • 7.1 Summary of low-level data processing
  • 7.2 Summary of high-level data processing
  • Appendix
  • A.1 Derivation of error resulting from signal recovery procedure
  • A.2 Derivation of error resulting from limited number of photoelectrons
  • A.3 Derivation of convolution operator a
  • References

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