DIGITAL SIGNAL AND IMAGE PROCESSING IN JAGIELLONIAN POSITRON EMISSION TOMOGRAPHY

This dissertation is dedicated to presenting data processing algorithms in the Jagiellonian PET (J-PET) scanner. The work describes original and inventive methods of signal and image reconstruction. The author applies modern methods of data processing, like compressive sensing theory and total variation regularization technique. Both experimental and simulation data of the J-PET scanner were used for evaluation. This work is an important contribution to the field of PET. The presented results are crucial to the success of the J-PET project.

• Original and inventive methods of signal and image reconstruction
• Application of modern data processing methods
• Evaluation based on experimental and simulation data
• Important contribution to the field of PET
• Crucial to the success of the J-PET project

Lech Raczyński graduated from the Faculty of Electronics and Information Technology of the Warsaw University of Technology. His scientific interests lie in the area of compressed acquisition methods, data processing and analysis, artificial intelligence and probabilistic mathematics, and the application of these disciplines, particularly in medicine. Since 2012, he has been part of the group at the National Centre for Nuclear Research, cooperating with the Jagiellonian University in the construction of a modern Positron Emission Tomography device. His efforts focus on developing new concepts and techniques for signal and image processing.

This book is a valuable source of information for students, scientists, and engineers involved in signal and image processing, as well as for specialists in nuclear medicine and radiology. The author presents complex issues related to emission tomography in an accessible and understandable way, making it available to a wide audience. This publication will undoubtedly contribute to the further development of this fascinating field of science and technology. The book is an important contribution to the field of PET, and the presented results are crucial to the success of the J-PET project. The author's use of modern data processing methods, like compressive sensing theory and total variation regularization technique, is particularly noteworthy.