Our activities

Research interests and activities:

  • PET low-level data reconstruction techniques using compressing sensing methods
  • New TOF-PET image reconstruction algorithms
  • Remote medical processing with Grid and Cloud models
  • Big Data methods and its applications to medical data processing including: deep learning, KNN, BDT and others
  • Parallelization of the medical computing by means of GPUs and FPGAs
  • Monte Carlo Simulations  with the GATE package

 

Publication and reports:

  • Adaptation of image reconstruction algorithms with time-of-flight for the J-PET tomography scanner (K. Rakoczy, Master thesis, 2019)
  • Digital Image processing algorithms for Positron emission tomography J-PET (K. Krupiński, Engineer thesis, 2019, in Polish)
  • Application of  machine learning methods to the multi-photon event classification with the J-PET scanner (J. Bielecki, Master thesis, 2019, in Polish)
  • Comparison of XGboost and AdaBoost algorithms for the classification of multiphoton events from the J-PET detector (J. Bielecki,Report, 2019, in Polish)
  • Analysis of medical data transfer standards for remote image processing in positron emission tomography (A. Ebinger, Master thesis, 2018, in Polish)
  • Towards 2+1 photon tomography: Energy-based selection of two 511 keV photons and a prompt photon with the J-PET scanner (R. Masełek et al.,“Young scientist” conference proceedings, 2018)
  • Estimation of the NEMA characteristics of the J-PET tomograph using the GATE package (P. Kowalski et al, Physics in Medicine and Biology 63 (2018) 165008 )
  • Introduction of total variation regularization into filtered backprojection algorithm (L, Raczynski et al., Acta Physica Polonica B Vol. 48, pp. 1611, 2017)
  • Three-dimensional Image Reconstruction in J-PET Using Filtered Back-projection Method (R. Y. Shopa et al., Acta Phys. Polon. B48 no. 10, 1757 (2017) )
  • Calculation of the time resolution of the J-PET tomograph using kernel density estimation (L. Raczyński et al., Phys. Med. Biol. 62 (2017) 5076-5097)
  • Scatter Fraction of the J-PET Tomography Scanner (P. Kowalski et al., Acta Phys. Polon. B 47, 549 (2016) )
  • Application of the compress sensing theory for improvement of the TOF resolution in a novel J-PET instrument (l. Raczynski et al., NUKLEONIKA 2016 61(1): 35-39 )
  • Overview of the software architecture and data flow for the J-PET tomography device (W. Krzemien et al., Acta Phys. Polon. B 47, 561 (2016) )
  • Processing optimization with parallel computing for the J-PET tomography scanner (w. Krzemien et al., NUKLEONIKA 2015;60(4):745-748 )
  • Multiple scattering and accidental coincidences in the J-PET detector simulated using GATE package (P. Kowalski et al., Acta Phys. Pol A127 (2015) 1505-1512 )
  • Compressive sensing of signals generated in plastic scintillators in a novel J-PET instrument ( L. Raczynski et al, Nucl. Instr. and Meth. A 786 (2015) 105-112 )
  • Analysis framework for the J-PET scanner, (W. Krzemien et al., Acta Phys. Pol A127 (2015) 1491-1494 )
  • Novel method for hit-positon reconstruction using voltage signals in plastic scintillators and its application to the Positron Emission Tomography (L. Raczynski et al., Nucl. Instr. and Meth. A 764 (2014) 186-192 )