Realistic Total-Body J-PET Geometry Optimization -- Monte Carlo Study
Abstract
Total-Body PET is one of the most promising medical diagnostics modalities. The high sensitivity provided by Total-Body technology can be advantageous for novel tomography methods like positronium imaging. Several efforts are ongoing to lower the price of the TB-PET systems. Among the alternatives, the Jagiellonian PET (J-PET) technology, based on plastic scintillator strips, offers a low-cost alternative. The work aimed to compare five Total-Body J-PET geometries as a possible next generation J-PET scanner design. We present comparative studies of performance characteristics of the cost-effective Total-Body PET scanners using J-PET technology. We investigated in silico five Total-Body scanner geometries. Monte Carlo simulations of the XCAT phantom, the 2-meter sensitivity line source and positronium sensitivity phantoms were performed. We compared the sensitivity profiles for 2-gamma and 3-gamma tomography, relative cost of the setups and performed quantitative analysis of the reconstructed images. The analysis of the reconstructed XCAT images reveals the superiority of the seven-ring scanners over the three-ring setups. However, the three-ring scanners would be approximately 2-3 times cheaper. The peak sensitivity values for two-gamma vary from 20 to 34 cps/kBq. The sensitivity curves for the positronium tomography have a similar shape to the two-gamma sensitivity profiles. The peak values are lower compared to the two-gamma cases, from about 20-28 times, with a maximum of 1.66 cps/kBq. The results show the feasibility of multi-organ imaging of all the systems to be considered for the next generation of TB J-PET designs. The relative cost for all the scanners is about 10-4 times lower compared to the cost of the uExplorer. These properties coupled together with J-PET cost-effectiveness, make the J-PET technology an attractive solution for broad application in clinics.
Keywords
Cite
@article{arxiv.2212.02285,
title = {Realistic Total-Body J-PET Geometry Optimization -- Monte Carlo Study},
author = {Jakub Baran and Wojciech Krzemien and Lech Raczyński and Mateusz Bała and Aurelien Coussat and Szymon Parzych and Neha Chug and Eryk Czerwiński and Catalina Oana Curceanu and Meysam Dadgar and Kamil Dulski and Kavya Eliyan and Jan Gajewski and Aleksander Gajos and Beatrix Hiesmayr and Krzysztof Kacprzak and Łukasz Kapłon and Konrad Klimaszewski and Grzegorz Korcyl and Tomasz Kozik and Deepak Kumar and Szymon Niedźwiecki and Dominik Panek and Elena Perez del Rio and Antoni Ruciński and Sushil Sharma and Shivani and Roman Y. Shopa and Magdalena Skurzok and Ewa Stępień and Faranak Tayefiardebili and Keyvan Tayefiardebili and Wojciech Wiślicki and Paweł Moskal},
journal= {arXiv preprint arXiv:2212.02285},
year = {2025}
}