Digital Signal and Image Processing in Jagiellonian Positron Emission Tomography (Original Publisher)

This book is designed for researchers, graduate students, and engineers working at the intersection of medical imaging, computer science, and nuclear physics. Whether you’re involved in the development of imaging systems or signal reconstruction algorithms, this reference provides deep insights into system architecture, data acquisition strategies, and digital post-processing.

Key Features & Highlights

• In-Depth Technical Insight – Covers the full signal acquisition and processing pipeline in the J-PET system, from raw detection to final image.
• Focus on Time-of-Flight and Plastic Scintillators – Explains the unique approach of using long-strip plastic scintillators for enhanced timing resolution.
• Advanced Reconstruction Algorithms – Discusses machine learning, filtering, and statistical methods applied in image reconstruction.
• Real Data Examples – Showcases practical datasets and visualizations derived from experimental J-PET scans.
• Interdisciplinary Approach – Ideal for professionals in medical physics, biomedical engineering, digital electronics, and computational imaging.

Topics Covered

This edition includes core chapters on:

• Signal digitization and data acquisition in PET systems
• Time-of-flight principles and resolution modeling
• Image reconstruction algorithms and filtering techniques
• Detector configuration using plastic scintillators
• Statistical analysis and pattern recognition in PET data
• Real-time signal processing and data handling
• Integration with medical diagnostic workflows

About the Author

Authored by a multidisciplinary team of physicists and engineers from the Jagiellonian University research group, this book draws from years of cutting-edge work on PET imaging innovations. Their contributions span algorithm development, system design, and experimental validation of the J-PET system.

Technical Specifications

• Format: PDF
• File Size: Approx. 70 MB
• Language: English
• Year of Publication: 2023
• Edition: 1st
• Compatible Devices: Windows, macOS, iOS, Android, Kindle, and major eReaders

Frequently Asked Questions

Q1: Is this book suitable for someone without a strong background in medical physics?
A: The content is technical and best suited for readers with foundational knowledge in signal processing, imaging systems, or medical physics. However, early chapters provide essential context for motivated learners.

Q2: Does the book include practical examples or code for reconstruction algorithms?
A: While the book includes algorithmic descriptions and data interpretations, specific implementation code is not the focus. Readers are encouraged to explore referenced tools and research papers for coding resources.