Digital Signal and Image Processing in Jagiellonian Positron Emission Tomography

The dissertation by Lech Raczyński offers an in-depth exploration of innovative data processing algorithms within the Jagiellonian PET (J-PET) scanner framework. Raczyński introduces novel methods for reconstructing signals and images, a notable achievement given the intricate process of determining positions in the J-PET scanner by measuring light pulse propagation times in extensive plastic scintillators. The work incorporates advanced data processing techniques such as compressive sensing and total variation regularization. These methodologies were validated using both experimental and simulated data from the J-PET scanner, significantly advancing the PET field. The outcomes presented are pivotal to the J-PET project's progress.Raczyński, an alumnus of the Faculty of Electronics and Information Technology at Warsaw University of Technology, centers his research on compressed acquisition methods, data analysis, artificial intelligence, and probabilistic mathematics, particularly their medical applications. Since 2012, he has been part of the team at the National Centre for Nuclear Research, collaborating with Jagiellonian University on creating an advanced Positron Emission Tomography device. His work is aimed at devising new strategies for processing signals and images, enhancing the effectiveness of this cutting-edge technology.