collaborators

6 papers

physics.med-ph2026

Three-Photon Bayesian Imaging of Ortho-Positronium

L. Raczynski, W. Krzemien, A. Coussat +5

PET provides functional images relying on two-photon coincidences from positron-electron annihilation. In human tissue, about 40\% of annihilations are preceded by Ps formation, of…

physics.med-ph2026

A Monte Carlo positronium decay source model with multiple annihilation channels in GATE

Wojciech Krzemien, Mateusz Bala, Kamil Dulski +10

Positronium-based imaging requires realistic modelling of positronium (Ps) decay in matter. We introduce a modular Ps decay model implemented in GATE 9.4 and GATE 10, enabling the…

hep-ph2026

Ortho-Positronium Three-Photon Decays: Physics Constraints and a Closed-Form Energy Method for Annihilation Vertex Reconstruction

L. Raczyński, W. Krzemień, A. Coussat +5

We examine the physical foundations of orthopositronium three-photon decay in the context of annihilation vertex reconstruction, focusing on how energy-momentum conservation constr…

nucl-ex2025

Non-maximal entanglement of photons from positron-electron annihilation demonstrated using a novel plastic PET scanner

P. Moskal, D. Kumar, S. Sharma +25

In state-of-the-art Positron Emission Tomography (PET), information about annihilation photon polarization is unavailable. Here, we present a PET scanner built from plastic scintil…

physics.med-ph2025

Development of the normalization method for the first large field-of-view plastic-based PET Modular scanner

A. Coussat, W. Krzemien, J. Baran +4

In positron emission tomography acquisition (PET), sensitivity along a line of response can vary due to crystal geometrical arrangements in the scanner and/or detector inefficienci…

physics.med-ph2025

Realistic Total-Body J-PET Geometry Optimization -- Monte Carlo Study

Jakub Baran, Wojciech Krzemien, Lech Raczyński +31

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…