activity
20132021
most citedTest of a single module of the J-PET scanner based on plastic scintillators

219 citations · 1.4k across the 45 of their papers we have counts for

collaborators
Showing physics.med-phShow all

6 papers · 1 filter

physics.med-ph2021★ 185 cited

Positronium imaging with the novel multiphoton PET scanner

Paweł Moskal, Kamil Dulski, Neha Chug +33

In vivo assessment of cancer and precise location of altered tissues at initial stages of molecular disorders are important diagnostic challenges. Positronium is copiously formed i…

physics.med-ph2021★ 18 cited

Optimisation of the event-based TOF filtered back-projection for online imaging in total-body J-PET

R. Y. Shopa, K. Klimaszewski, P. Kopka +24

We perform a parametric study of the newly developed time-of-flight (TOF) image reconstruction algorithm, proposed for the real-time imaging in total-body Jagiellonian PET (J-PET)…

physics.med-ph2016★ 27 cited

Scatter fraction of the J-PET tomography scanner

P. Kowalski, W. Wiślicki, L. Raczyński +24

A novel Positron Emission Tomography system, based on plastic scintillators, is being developed by the J-PET collaboration. In this article we present the simulation results of the…

physics.med-ph2015★ 12 cited

3D PET image reconstruction based on Maximum Likelihood Estimation Method (MLEM) algorithm

Artur Słomski, Zbigniew Rudy, Tomasz Bednarski +23

Positron emission tomographs (PET) do not measure an image directly. Instead, they measure at the boundary of the field-of-view (FOV) of PET tomograph a sinogram that consists of m…

physics.med-ph2013★ 3 cited

System Response Kernel Calculation for List-mode Reconstruction in Strip PET Detector

P. Białas, J. Kowal, A. Strzelecki +22

Reconstruction of the image in Positron Emission Tomographs (PET) requires the knowledge of the system response kernel which describes the contribution of each pixel (voxel) to eac…

physics.med-ph2013★ 2 cited

Application of Compressive Sensing Theory for the Reconstruction of Signals in Plastic Scintillators

L. Raczyński, P. Kowalski, T. Bednarski +22

Compressive Sensing theory says that it is possible to reconstruct a measured signal if an enough sparse representation of this signal exists in comparison to the number of random…