Robert J. Paneque-Yunta
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Robert J. Paneque-Yunta has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Joaquin Lopez Herraiz
Nuclear Physics Group and IPARCOS Complutense University of Madrid, Madrid, Spain, Madrid, Comunidad de Madrid, 28040, SPAIN
2 shared publications - Jose Manuel Udias
Universidad Complutense de Madrid
2 shared publications - Khaled Mahmoud Abushab
Nuclear Physics Group, Faculty of Physical Sciences, University Complutense of Madrid, 28040 Madrid, Spain
2 shared publications - Nerea Encina-Baranda
Nuclear Physics Group, Faculty of Physical Sciences, University Complutense of Madrid, 28040 Madrid, Spain
2 shared publications - Paula Ibáñez
Departamento de Estructura de la Materia, Física Térmica y Electrónica, Universidad Complutense de Madrid, Avenida Complutense S/N, Facultad de Ciencias Físicas, Madrid, 28040, SPAIN
2 shared publications - Lukas Michael Carter
Memorial Sloan Kettering Cancer Center
1 shared publication
Latest Publications
- Open Access
- 4 July 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (13) , 6706
Condensed-History GPU Positron Range Simulator in Heterogeneous Media for PET Resolution Modelling
Positron range (PR) degrades spatial resolution in positron emission tomography (PET), with its effect being radionuclide- and medium-dependent. Current accurate PR simulators are computationally intensive and cannot be used in clinical time frames. This work presents the Hybrid Monte Carlo (HMC) PR simulator, a GPU-accelerated condensed-history code in CUDA Fortran for 3D annihilation imaging in heterogeneous voxelised geometries derived from CT images and -maps. Pre-computed look-up interaction tables (LUTs) covering 24 reference-tissue materials and support for arbitrary emitters up to 3.55 MeV end-point energies (68Ga, 82Rb, 124I, etc.) allow both GPU and CPU implementations. Maximum speeds reach (Intel i9-14900KF) and (NVIDIA RTX 5080) histories/s, surpassing prior CPU-only PenEasy 2024 by up to 4 orders of magnitude. A fixed step of 0.5 mm was chosen for LUT generation with a uniform variation each HMC step that allowed reducing aliasing effects. These values are consistent with our previous cross-code benchmark for the isotopes studied. Close agreement with PenEasy 2024 is demonstrated: point-source FWHM and FWTM residuals using 18F, 68Ga, 124I and 82Rb are below 0.3 mm at histories, and voxelwise , and PSNR dB are achieved simulating 82Rb uptake from a human-scale [18F]FDG myocardium acquisition, while decreasing the simulation time from almost 9 h to roughly 1 s using HMC GPU. The resulting annihilation maps enable PET resolution modelling and patient-specific PR correction within clinically practical time frames.- 4 July 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (13) , 6706
Open AccessCondensed-History GPU Positron Range Simulator in Heterogeneous Media for PET Resolution Modelling
Positron range (PR) degrades spatial resolution in positron emission tomography (PET), with its effect being radionuclide- and medium-dependent. Current accurate PR simulators are computationally intensive and cannot be used in clinical time frames. This work presents the Hybrid Monte Carlo (HMC) PR simulator, a GPU-accelerated condensed-history code in CUDA Fortran for 3D annihilation imaging in heterogeneous voxelised geometries derived from CT images and -maps. Pre-computed look-up interaction tables (LUTs) covering 24 reference-tissue materials and support for arbitrary emitters up to 3.55 MeV end-point energies (68Ga, 82Rb, 124I, etc.) allow both GPU and CPU implementations. Maximum speeds reach (Intel i9-14900KF) and (NVIDIA RTX 5080) histories/s, surpassing prior CPU-only PenEasy 2024 by up to 4 orders of magnitude. A fixed step of 0.5 mm was chosen for LUT generation with a uniform variation each HMC step that allowed reducing aliasing effects. These values are consistent with our previous cross-code benchmark for the isotopes studied. Close agreement with PenEasy 2024 is demonstrated: point-source FWHM and FWTM residuals using 18F, 68Ga, 124I and 82Rb are below 0.3 mm at histories, and voxelwise , and PSNR dB are achieved simulating 82Rb uptake from a human-scale [18F]FDG myocardium acquisition, while decreasing the simulation time from almost 9 h to roughly 1 s using HMC GPU. The resulting annihilation maps enable PET resolution modelling and patient-specific PR correction within clinically practical time frames. - Open Access
- 29 July 2025
- Published by IOP Publishing in Physics in Medicine & Biology
- Vol. 70 (16)
Analytical positron range model for PET with cross-code Monte Carlo benchmarking
Introduction: The positron range (PR) effect is a significant factor limiting spatial resolution in positron emission tomography (PET), particularly for high-resolution systems and non-standard isotopes. Objective: This study introduces a novel analytical model to accurately and rapidly describe positron range distributions (PRd) for various PET radioisotopes. Approach: The proposed model explicitly incorporates the Coulomb repulsion effect, the multi-branch nature of certain β+ emitters, and the scaling of PR with electronic density. To minimise bias, we used a histogram-free statistical method to derive the cumulative PRd from Monte Carlo (MC) simulated annihilation datasets, avoiding arbitrary histogram binning. A comparative analysis of PR estimates was conducted across three major MC radiation transport algorithm packages: PENELOPE (via PenEasy/PeneloPET), GEANT4 (via GATE), and EGS5 (via PHITS), revealing notable discrepancies between codes, versions, and input configurations, especially at short distances from the source. Main results: The new analytical model demonstrated an excellent reproduction of the simulated data for isotopes including C-11, N-13, O-15, F-18, Cu-64, Ga-68, Rb-82, and I-124, achieving in general coefficients of determination (R2) greater than 0.995 and mean absolute percentage errors (MAPE) < 20%. Compared to previous methods, our model provides a more accurate description of PRd at short and long distances and offers improved R2 values. Significance: This work provides a robust framework for generating accurate annihilation point spread function (aPSF) kernels, facilitating improved PR correction in quantitative Nuclear Medical imaging and supporting research with diverse radioisotopes.
- 29 July 2025
- Published by IOP Publishing in Physics in Medicine & Biology
- Vol. 70 (16)
Open AccessAnalytical positron range model for PET with cross-code Monte Carlo benchmarking
Introduction: The positron range (PR) effect is a significant factor limiting spatial resolution in positron emission tomography (PET), particularly for high-resolution systems and non-standard isotopes. Objective: This study introduces a novel analytical model to accurately and rapidly describe positron range distributions (PRd) for various PET radioisotopes. Approach: The proposed model explicitly incorporates the Coulomb repulsion effect, the multi-branch nature of certain β+ emitters, and the scaling of PR with electronic density. To minimise bias, we used a histogram-free statistical method to derive the cumulative PRd from Monte Carlo (MC) simulated annihilation datasets, avoiding arbitrary histogram binning. A comparative analysis of PR estimates was conducted across three major MC radiation transport algorithm packages: PENELOPE (via PenEasy/PeneloPET), GEANT4 (via GATE), and EGS5 (via PHITS), revealing notable discrepancies between codes, versions, and input configurations, especially at short distances from the source. Main results: The new analytical model demonstrated an excellent reproduction of the simulated data for isotopes including C-11, N-13, O-15, F-18, Cu-64, Ga-68, Rb-82, and I-124, achieving in general coefficients of determination (R2) greater than 0.995 and mean absolute percentage errors (MAPE) < 20%. Compared to previous methods, our model provides a more accurate description of PRd at short and long distances and offers improved R2 values. Significance: This work provides a robust framework for generating accurate annihilation point spread function (aPSF) kernels, facilitating improved PR correction in quantitative Nuclear Medical imaging and supporting research with diverse radioisotopes.