M.Sc. Ezzat Elmoujarkach

Universität zu Lübeck
Ratzeburger Allee 160

23562 Lübeck
Gebäude 64, Raum 024

Email:	ezzat.elmoujarkach(at)uni-luebeck.de
Phone:	+49 451 3101 5473
Fax:	+49 451 3101 5404

Roles

Research Assistant

Research

Research Interests

Artificial intelligence
Emission Tomography
Monte-Carlo Simulations
3D Printing

Curriculum Vitae

EZZAT ELMOUJARKACH was born in Florida, USA, in 1992. He received his MSc. degree in Nuclear Engineering specialized in neutron chemical dosimetry at the Department of Nuclear Engineering, King Abdulaziz University, Jeddah, Saudi Arabia, in 2019. Since 2017, his research interests include Neutron dosimetry, simulation and modeling, and applying 3D printing technology for radiation shielding applications. Also, he did some research studying the effect of nuclear power plants on the environment and the effect it has on Saudi Arabia's carbon footprint. Since April 2020, he works as a research assistant at the Institute of Medical Engineering in the field of nuclear imaging.

Publications

[ 2024 ]
[ 2023 ]
[ 2022 ]
[ 2021 ]
[ 2020 ]
[ 2019 ]
[ 2018 ]
[ 2016 ]

2024[ to top ]

Elmoujarkach, E., Seeger, S., Morgner, L., Schmidt, F., Mannheim, J. G., Schmidt, C. L. and Rafecas, M.: Dedicated 3D Printed Radioactive Phantoms With 18F-FDG for Ultra-High Resolution PET, IEEE Transactions on Radiation and Plasma Medical Sciences, 1–1, 2024, DOI: 10.1109/TRPMS.2024.3483233.
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@article{10742298, author = {Elmoujarkach, Ezzat and Seeger, Steven and Morgner, Luise and Schmidt, Fabian and Mannheim, Julia G. and Schmidt, Christian L. and Rafecas, Magdalena}, journal = {IEEE Transactions on Radiation and Plasma Medical Sciences}, keywords = {KI-INSPIRE}, pages = {1-1}, title = {Dedicated 3D Printed Radioactive Phantoms With 18F-FDG for Ultra-High Resolution PET}, year = 2024 }
Elmoujarkach, E., Schmidt, F. and Rafecas, M.: PETAL-3D: Progressive Elimination of Noise Towards Accurate Ultra Low-Dose PET Images Using 3D U-Net, 3–3, 2024.
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@inproceedings{elmoujarkach2024petal3d, author = {Elmoujarkach, Ezzat and Schmidt, Fabian and Rafecas, Magdalena}, booktitle = {Proceedings of the PSMR2024 10th Conference on PET, SPECT, and MR Multimodal Technologies, Total Body and Fast Timing in Medical Imaging}, keywords = {ki-inspire}, month = {05}, pages = {3-3}, title = {PETAL-3D: Progressive Elimination of Noise Towards Accurate Ultra Low-Dose PET Images Using 3D U-Net}, year = 2024 }
Weigel, S., Elmoujarkach, E., Rauscher, L., Lan, W., Calderón, E., Linder, P., Rafecas, M., la Fougère, C. and Schmidt, F.: A moveable 3-D printed Phantom Setup for Evaluation of Motion induced Artefacts in a Total-Body PET/CT, 128–129, 2024, DOI: 10.1055/s-0044-1782396.
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@inproceedings{weigel2024moveable, author = {Weigel, S. and Elmoujarkach, E. and Rauscher, L. and Lan, W. and Calderón, E. and Linder, P. and Rafecas, M. and la Fougère, C. and Schmidt, F.}, keywords = {ki-inspire}, number = {02}, organization = {Deutsche Gesellschaft für Nuklearmedizin}, pages = {128-129}, publisher = {Georg Thieme Verlag}, title = {A moveable 3-D printed Phantom Setup for Evaluation of Motion induced Artefacts in a Total-Body PET/CT}, volume = 63, year = 2024 }
Seeger, S., Vo, H., Elmoujarkach, E., Schmidt, C. and Rafecas, M.: EP-0704 The MERMAID Project : Pioneering PET Imaging for Small Aquatics Animals, European Journal of Nuclear Medicine and Molecular Imaging, EANM’24 Abstract Book Congress Oct 19-23, 2024, 2024, DOI: 10.1007/s00259-024-06838-z.
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@article{seeger2024ep0704, author = {Seeger, Steven and Vo, Hong and Elmoujarkach, Ezzat and Schmidt, Christian and Rafecas, Magdalena}, journal = {European Journal of Nuclear Medicine and Molecular Imaging}, keywords = {SeegerSteven}, title = {EP-0704 The MERMAID Project : Pioneering PET Imaging for Small Aquatics Animals}, volume = {EANM’24 Abstract Book Congress Oct 19-23, 2024}, year = 2024 }
Karakatsanis, N., Atkinson, D., Buscaron, C., Cheng, J.-C. K., Coussat, A., Deidda, D., Efthimiou, N., Elmoujarkach, E., Goncharov, F., Han, F., Hansen, M., Jehl, M., Jurjew, N., Kesner, A., Lennie, E., McFarland, A., Nuyts, J., Polson, L., Rahmim, A., Reimers, E., Schramm, G., Singh, I., Soultanidis, G., Spangler-Bickell, M., Stairs, J., Stute, S., Toussaint, M., Twyman, R., Vo, H. P., Wells, R. G. and Thielemans, K.: Usability of PETSIRD, the PET Raw Data open format of the Emission Tomography Standardization Initiative (ETSI): results from ETSIs first hackathon, Journal of Nuclear Medicine, 65(supplement 2), 241285–241285, 2024.
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@article{Karakatsanis241285, abstract = {241285 Introduction: With the advent of Positron Emission Tomography (PET) scanners of increasingly higher sensitivity alongside the evolving capacity of Artificial Intelligence (AI) to support Nuclear Medicine, the opportunity for accessing high fidelity information through standardized PET raw data has become apparent. The Emission Tomography Standardization Initiative (ETSI) was founded in 2022 from an international consortium of nuclear medicine experts to define open, extendable, standardized and vendor-agnostic formats of emission tomography raw data. Currently, the initiative focuses on developing the PET ETSI Raw Data (PETSIRD) list-mode format comprised of (i) data elements (e.g. coincidence events, geometry, correction factors, etc.), (ii) a container describing the element{\textquoteright}s structure and the protocols for access, storage and transfer using Microsoft Research YARDL meta-language, and (iii) a use-cases software library. We report on the progress of developing use-case applications for generating, accessing and processing PETSIRD data.Methods: On November 13-14th 2023, ETSI organized its in Vancouver, BC, Canada, aiming at the development of proof-of-concept open-source software for PETSIRD use-cases to demonstrate its usability. A group of 30 international participants from industry and academia worked together to produce software tools showcasing how to create, access and process PETSIRD data for well-defined user tasks in quantitative PET imaging. Specifically, four subgroups were formed to work on the following tasks: (1) apply split/merge, gating and sub-sampling operations on PETSIRD data according to a user-defined or physiological signal (e.g. ECG) input, (2) build a convertor from GATE Monte Carlo simulations output data in ROOT format to PETSIRD and subsequently generate simulated demo PETSIRD data from realistic Monte Carlo simulations, (3) add a PETSIRD read/write/processing interface within existing open-source reconstruction software, and (4) analytically simulate PETSIRD data from images as well as independently reconstruct PET images from PETSIRD data alone. In all use-cases, the highly versatile YARDL container model of PETSIRD was exploited.Results: All four subgroups were able to make substantial progress during the 2-day hackathon and delivered useful and practical software tools demonstrating PETSIRD{\textquoteright}s high usability and functionality. Specifically, subgroup 1 implemented tools for both sub-sampling and gating operations on PETSIRD data guided by external inputs. Subgroup 2 built a ROOT-to-PETSIRD converter, to be used as a possible roadmap for future converters from vendor proprietary formats to PETSIRD and generated realistic demo PETSIRD data of a simplified NEMA IEC phantom. Subgroup 3 added basic PETSIRD input/output interfaces to STIR, CASToR and PyTomography open-source libraries. Subgroup 4 used PARALLELPROJ{\textquoteright}s open-source projectors to analytically generate synthetic PETSIRD data from images. Finally, subgroup 4 successfully reconstructed an estimate of the NEMA phantom PET image from the PETSIRD demo data of subgroup 2, thus independently validating the respective software of the two subgroups and the format{\textquoteright}s capability to contain sufficient information for standalone reconstruction. The role of PETSIRD{\textquoteright}s YARDL container was pivotal in all developments, as its automatic code generation capabilities in both C++ and Python enabled rapid software prototyping. Prototype PETSIRD definitions are available on . All code will be made available there.Conclusions: The successful implementation of several practical and functional use cases during ETSI{\textquoteright}s first hackathon demonstrated PETSIRD{\textquoteright}s usability as a standalone, open-source, standardized PET list-mode data format. Moreover, it highlighted its value as a vendor- and scanner-agnostic standard to aid the development of novel and high-impact PET applications and analysis tools especially of those relying on data sharing and harmonization principles such as AI models.}, author = {Karakatsanis, Nicolas and Atkinson, David and Buscaron, Camilo and Cheng, Ju-Chieh Kevin and Coussat, Aur{\'e}lien and Deidda, Daniel and Efthimiou, Nikos and Elmoujarkach, Ezzat and Goncharov, Fedor and Han, Fang and Hansen, Michael and Jehl, Markus and Jurjew, Nicole and Kesner, Adam and Lennie, Eve and McFarland, Aaron and Nuyts, Johan and Polson, Luke and Rahmim, Arman and Reimers, Erik and Schramm, Georg and Singh, Imraj and Soultanidis, Georgios and Spangler-Bickell, Matthew and Stairs, John and Stute, Simon and Toussaint, Maxime and Twyman, Robert and Vo, Hong Phuc and Wells, R. Glenn and Thielemans, Kris}, journal = {Journal of Nuclear Medicine}, keywords = {imt}, number = {supplement 2}, pages = {241285–241285}, publisher = {Society of Nuclear Medicine}, title = {Usability of PETSIRD, the PET Raw Data open format of the Emission Tomography Standardization Initiative (ETSI): results from ETSIs first hackathon}, volume = 65, year = 2024 }
Seeger, S., Elmoujarkach, E., Schmidt, F., Nachimuthu, G., Schmidt, C., Mannheim, J. and Rafecas, M.: EP-0693 Fabrication of Zirconium-89 solid phantoms for PET using 3D Printing, European Journal of Nuclear Medicine and Molecular Imaging, 2024, DOI: 10.1007/s00259-024-06838-z.
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@article{seeger2024ep0693, author = {Seeger, Steven and Elmoujarkach, Ezzat and Schmidt, Fabian and Nachimuthu, Gowthaam and Schmidt, Christian and Mannheim, Julia and Rafecas, Magdalena}, journal = {European Journal of Nuclear Medicine and Molecular Imaging}, keywords = {MERMAID}, title = {EP-0693 Fabrication of Zirconium-89 solid phantoms for PET using 3D Printing}, year = 2024 }
Elmoujarkach, E. A., Pommranz, C., Cabello, J., Schmidt, F. P. and Rafecas, M.: Impact of Re-framing High-Dose Scans for the Training of Neural Networks for Denoising Low-Dose PET, 1–2, 2024, DOI: 10.1109/NSS/MIC/RTSD57108.2024.10657465.
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@inproceedings{10657465, abstract = {In PET, patient radiation exposure is mainly determined by the administered amount of radiotracer and its metabolism. By lowering the activity, the radiation dose is minimized at the cost of increased statistical fluctuations in the data; the latter increases the image noise level. Many artificial intelligence (AI) approaches have been proposed for image denoising of low-dose PET scans. Supervised AI algorithms require the use of labeled datasets, with the high-dose PET image as the target and the low-dose image as the input. This approach assumes that the performance of the PET systems is the same in the two activity regimes. However, the contribution of random coincidences, pile-up and dead-time effects depend on event rates. This study focuses on comparing two approaches to generating the training pair and their impact on the performance of a 3D U-Net using Monte Carlo simulations. The package GATE, v.9.1, was used to simulate a standard BMI XCAT phantom and a Biograph Vision Quadra PET/CT. Digital twins of 5-min 18F-FDG-PET scans for an activity of 3 MBq/kg were obtained to simulate two low-dose scenarios: injected low-dose, and injected high-dose re-framed to low-dose. The results showed that both methods of generating low-dose datasets yield comparable results without degradation in image quality. However, differences were observed in the random fraction for the high-dose dataset, i.e., the texture of the data noise changed. This study shows that using high-dose data is suitable for training of AI-based denoising algorithms on image space; nevertheless, denoising algorithms working on the projection space might overestimate the noise level within the data. Future work will include other activity concentrations and scan durations, incorporating motion, and the use of other radioisotopes.}, author = {Elmoujarkach, E. A. and Pommranz, C. and Cabello, J. and Schmidt, F. P. and Rafecas, M.}, booktitle = {2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)}, keywords = {KI-INSPIRE}, month = 10, pages = {1-2}, title = {Impact of Re-framing High-Dose Scans for the Training of Neural Networks for Denoising Low-Dose PET}, year = 2024 }
Seeger, S., Elmoujarkach, E., Vo, H., Schmidt, C. and Rafecas, M.: Feasibility of Zirconium-89 Imaging with MERMAID, a small-fish PET scanner prototype, 1–2, 2024, DOI: 10.1109/NSS/MIC/RTSD57108.2024.10656767.
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@inproceedings{10656767, author = {Seeger, Steven and Elmoujarkach, Ezzat and Vo, Hong and Schmidt, Christian and Rafecas, Magdalena}, booktitle = {2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)}, keywords = {SeegerSteven}, pages = {1-2}, title = {Feasibility of Zirconium-89 Imaging with MERMAID, a small-fish PET scanner prototype}, year = 2024 }
Lan, W., Vo, H. P., Pommranz, C., Elmoujarkach, E., Cabello, J., Birge, N., Schleyer, P., Rafecas, M., Lafougère, C. and Schmidt, F.: A Simulation Framework to Establish Ground Truth for Motion Correction in Total-Body PET: Initial Evaluation for Complex Respiratory Motion, 1–2, 2024, DOI: 10.1109/NSS/MIC/RTSD57108.2024.10656116.
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@inproceedings{10656116, abstract = {The enhanced sensitivity of total-body PET/CT scanners substantially decreases noise, however the full potential for spatio-temporal resolution is still hampered by artefacts and quantification degradation due to patient motion. To compensate for this, a variety of different motion correction methods were developed, but lack a motion free reference. To this end, our group developed a framework enabling Monte Carlo simulations of patient-like phantoms with motion modelling that accurately resembles event processing and image reconstruction of the Biograph Vision Quadra total-body PET/CT scanner. Simulations were performed with the XCAT phantom to mimic a clinical 5 min $\left[{ }^{18} \mathrm{ F}-\mathrm{FDG}\right]$ scan, with modelling of breathing motion with various breathing frequency/amplitude. To evaluate the impact of motion correction, an elastic motion deblurring approach, OncoFreeze AI, was used. Image quality, quantification of 5-20 mm lesions in lung and liver, and lesion line profiles were compared for a static (no motion) reference and for modelled motion with and without correction. Motion induced blurring in the images and could be compensated by the motion correction. The respiratory curve could be recovered by OncoFreeze AI with high precision (difference $\mathrm{Hz} \pm 0.5 \%$ over all motion segments). The motion correction helped to increase the recovery of the static activity concentration, e.g. for a 10 mm lung lesion: $9.4 \mathrm{kBq} / \mathrm{ml}$ (static no motion), $7 \mathrm{kBq} / \mathrm{ml}$ (motion) and $8.3 \mathrm{kBq} / \mathrm{ml}$ (motion corrected) and recovery of the lesion size 8.0 mm FWHM (static no motion) to 13.4 mm (motion) and 8.6 mm (motion corrected). This work underlines the need for motion correction and confirms the suitability of our framework to provide ground truth information on patient motion for total-body PET scans. Future work will extend this initial evaluation to more motion correction methods and a larger, more diverse data set with different scan durations, activities, and lesions.}, author = {Lan, W. and Vo, H. P. and Pommranz, C. and Elmoujarkach, E. and Cabello, J. and Birge, N. and Schleyer, P. and Rafecas, M. and Lafougère, C. and Schmidt, F.}, booktitle = {2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)}, keywords = {nuci}, month = 10, pages = {1-2}, title = {A Simulation Framework to Establish Ground Truth for Motion Correction in Total-Body PET: Initial Evaluation for Complex Respiratory Motion}, year = 2024 }

2023[ to top ]

Pommranz, C., Elmoujarkach, E., Cabello, J., Rafecas, M., Mannheim, J., Santangelo, A., la Fougère, C., Pichler, B. and Schmidt, F.: Simulation Studies and Experimental Model Validation of the Biograph Vision Quadra, Nuklearmedizin - NuclearMedicine, 62(02), V8-, 2023, DOI: 10.1055/s-0043-1766212.
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@article{noauthororeditor2023simulation, author = {Pommranz, Christian and Elmoujarkach, Ezzat and Cabello, Jorge and Rafecas, Magdalena and Mannheim, Julia and Santangelo, Andrea and la Fougère, Christian and Pichler, Bernd and Schmidt, Fabian}, journal = {Nuklearmedizin - NuclearMedicine}, keywords = {ki-inspire}, number = {02}, pages = {V8–}, publisher = {Georg Thieme Verlag}, title = {Simulation Studies and Experimental Model Validation of the Biograph Vision Quadra}, volume = 62, year = 2023 }
Pommranz, C., Elmoujarkach, E., Cabello, J., Lan, W., Rafecas, M., Mannheim, J., Santangelo, A., Fougère, C. L., Pichler, B. and Schmidt, F.: Development and Initial Validation of Two Simulation Workflows Using GATE for a Total-Body PET/CT Scanner, 1–1, 2023, DOI: 10.1109/NSSMICRTSD49126.2023.10338368.
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@inproceedings{10338368, abstract = {Monte Carlo simulation studies potentially support understanding and characterizing new total-body PET/CT scanners such as the Biograph Vision Quadra (Siemens Healthineers), which enable a broad field of novel applications. This work aims to develop and validate two simulation workflows using the Geant4 Application for Emission Tomography (GATE). Workflow 1 is designed to model the response of the Biograph Vision Quadra as closely as possible by using a custom readout and digitizer modeling tool with an integrated coincidence sorter. Further, the same image reconstruction is performed as for real scan data with the e7 tools (Siemens Healthineers). Workflow 2 is developed for increased flexibility based on open-source software and the Customizable and Advanced Software for Tomographic Reconstruction (CASToR) code for image reconstruction. Phantom simulation studies were performed to validate the workflows against measurement data. Using the normalization matrix of the real scanner with an adapted calibration factor, Workflow 1 demonstrated an excellent quantification accuracy with differences of less than 1% for three different phantoms. Image quality analysis using an IEC phantom simulation with 60 s scan time showed good agreements of contrast recovery coefficients and lung residual error with experimental data. The anthropomorphic XCAT phantom was used for patient-like simulations. The successful NEMA-NU validation of the simulation workflows will enable the investigation of scenarios which practically cannot be tested on patients. Further, the generation of training and validation data sets including simulation ground truth data for machine learning algorithms will be enabled.}, author = {Pommranz, C. and Elmoujarkach, E. and Cabello, J. and Lan, W. and Rafecas, M. and Mannheim, J. and Santangelo, A. and Fougère, C. La and Pichler, B. and Schmidt, F.}, booktitle = {2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD)}, keywords = {ki-inspire}, month = 11, pages = {1-1}, title = {Development and Initial Validation of Two Simulation Workflows Using GATE for a Total-Body PET/CT Scanner}, year = 2023 }
Elmoujarkach, E., Seeger, S., Schmidt, C., Mannheim, J. G., Schmidt, F. P. and Rafecas, M.: First 3D printed radioactive 89Zr phantoms for Positron Emission Tomography, Transactions on Additive Manufacturing Meets Medicine, Vol. 5 No. S1 (2023): Trans. AMMM Supplement, 2023, DOI: 10.18416/AMMM.2023.2309833.
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@article{https://doi.org/10.18416/ammm.2023.2309833, author = {Elmoujarkach, Ezzat and Seeger, Steven and Schmidt, Christian and Mannheim, Julia G. and Schmidt, Fabian P. and Rafecas, Magdalena}, journal = {Transactions on Additive Manufacturing Meets Medicine}, keywords = {KI-INSPIRE}, pages = {Vol. 5 No. S1 (2023): Trans. AMMM Supplement}, publisher = {Transactions on Additive Manufacturing Meets Medicine}, title = {First 3D printed radioactive 89Zr phantoms for Positron Emission Tomography}, year = 2023 }
Pommranz, C., Elmoujarkach, E., Cabello, J., Lan, W., Rafecas, M., Mannheim, J., P.Linder, Santangelo, A., Fougère, C., Pichler, B. and Schmidt, F.: Development and Validation of a Monte Carlo Simulation Workflow for a Total-Body PET Scanner, 690–691, 2023, DOI: 10.1007/s00259-023-06333-x.
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@inproceedings{ref1, author = {Pommranz, C. and Elmoujarkach, E. and Cabello, J. and Lan, W. and Rafecas, M. and Mannheim, J. and P.Linder and Santangelo, A. and Fougère, C. and Pichler, B. and Schmidt, F.}, booktitle = {EANM’23 Abstract Book Congress Sep 9-13, 2023}, journal = {European Journal of Nuclear Medicine and Molecular Imaging}, keywords = {ki-inspire}, month = {09}, number = 1, pages = {690-691}, title = {Development and Validation of a Monte Carlo Simulation Workflow for a Total-Body PET Scanner}, volume = 50, year = 2023 }

2022[ to top ]

Seeger, S., Elmoujarkach, E., Möller, N., Schmidt, C. and Rafecas, M.: 3D printed radioactive phantoms for Positron Emission Tomography, ID 640, 2022, DOI: 10.18416/AMMM.2022.2209640.
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@inproceedings{https://doi.org/10.18416/ammm.2022.2209640, author = {Seeger, Steven and Elmoujarkach, Ezzat and Möller, Nadine and Schmidt, Christian and Rafecas, Magdalena}, journal = {Transactions on Additive Manufacturing Meets Medicine}, keywords = {nuci}, number = {S1 (Supplement)}, pages = {ID 640}, publisher = {Transactions on Additive Manufacturing Meets Medicine}, title = {3D printed radioactive phantoms for Positron Emission Tomography}, volume = 4, year = 2022 }
Taha, E. M., Elmoujarkach, E. A., Balamesh, A., Alzaidi, S. A. and Alhawsawi, A. M.: Utilization of an energy-resolving detection system for mammography applications: A preliminary study, Nukleonika, 67(2), 35–40, 2022, DOI: doi:10.2478/nuka-2022-0003.
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@article{TahaElmoujarkachBalameshAlzaidiAlhawsawi+2022+35+40, author = {Taha, Eslam M. and Elmoujarkach, Ezzat A. and Balamesh, Ahmed and Alzaidi, Samir A. and Alhawsawi, Abdulsalam M.}, journal = {Nukleonika}, keywords = {ElmoujarkachEzzat}, number = 2, pages = {35–40}, title = {Utilization of an energy-resolving detection system for mammography applications: A preliminary study}, volume = 67, year = 2022 }
Elmoujarkach, E., Seeger, S., Möller, N., Schmidt, C. and Rafecas, M.: Development and Characterization of 3D Printed Radioactive Phantoms for High Resolution PET, 1–2, 2022, DOI: 10.1109/NSS/MIC44845.2022.10399242.
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@inproceedings{10399242, abstract = {Nuclear imaging techniques such as Positron Emission Tomography (PET) and Single-Photon Emission Computed Tomography (SPECT) use radioactive phantoms for calibration, quality assurance, and characterization. These phantoms can be rods, flat sources, or cylinders that consist of cavities that are filled with liquid radioisotopes. The use of such phantoms is a well-established standard. With the advent of 3D printing, a promising alternative approach is to print solid radioactive phantoms. The literature shows that it is possible to manufacture solid calibration phantoms with short-lived radioisotopes. On the way to printing long-lived radioactive objects, we tested the method using 18F-FDG to construct very small phantoms with submillimeter structures for future use in small-fish PET. A commercial printer was modified for this purpose. We were able to print different phantom shapes and structures with homogeneous activity distributions as well as phantoms with hot, cold and background regions. The use of hollow phantoms of the same size, to be filled with activity, is not considered a practical alternative due to their small size. In addition, air bubbles that occur during filling can also reduce the quality.}, author = {Elmoujarkach, Ezzat and Seeger, Steven and Möller, Nadine and Schmidt, Christian and Rafecas, Magdalena}, booktitle = {2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)}, keywords = {ki-inspire}, month = 11, pages = {1-2}, title = {Development and Characterization of 3D Printed Radioactive Phantoms for High Resolution PET}, year = 2022 }
Mohammed, M. S. H., Alhawsawi, A., Aljohani, M. S., Damoom, M. M., Banoqitah, E. M. and Elmoujarkach, E.: Prompt gamma-ray methods for industrial process evaluation: A simulation study, Nukleonika, 67(1), 11–18, 2022, DOI: 10.2478/nuka-2022-0001.
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@article{Mohammed_2022, author = {Mohammed, Mohammed Siddig H. and Alhawsawi, Abdulsalam and Aljohani, M. S. and Damoom, Mohammed M. and Banoqitah, Essam M. and Elmoujarkach, Ezzat}, journal = {Nukleonika}, keywords = {ElmoujarkachEzzat}, month = {02}, number = 1, pages = {11–18}, publisher = {Walter de Gruyter {GmbH}}, title = {Prompt gamma-ray methods for industrial process evaluation: A simulation study}, volume = 67, year = 2022 }
Elmoujarkach, E., Seeger, S., Schareck, C., De Graaf, L., Barkhausen, J. and Rafecas, M.: Characterization of Using Infused PLA for 3DPrinted Radiation Shielding, Current Directions in Biomedical Engineering, 8(2), 2022, DOI: https://doi.org/10.1515/cdbme-2022-1147.
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@article{elmoujarkach2022characterization, author = {Elmoujarkach, Ezzat and Seeger, Steven and Schareck, Constantin and De Graaf, Leoni and Barkhausen, Jörg and Rafecas, Magdalena}, journal = {Current Directions in Biomedical Engineering}, keywords = {nuci}, number = 2, title = {Characterization of Using Infused PLA for 3DPrinted Radiation Shielding}, volume = 8, year = 2022 }

2021[ to top ]

Mohammed, M. S. H., Banoqitah, E. M., Elmoujarkach, E., Alhawsawi, A. M. and Djouider, F.: A virtual laboratory for radiotracer and sealed-source applications in industry, Nukleonika, 66(1), 21–27, 2021, DOI: 10.2478/nuka-2021-0003.
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@article{Mohammed_2021, author = {Mohammed, Mohammed Siddig H. and Banoqitah, Essam M. and Elmoujarkach, Ezzat and Alhawsawi, Abdulsalam M. and Djouider, Fathi}, journal = {Nukleonika}, keywords = {ElmoujarkachEzzat}, month = {03}, number = 1, pages = {21–27}, publisher = {Walter de Gruyter {GmbH}}, title = {A virtual laboratory for radiotracer and sealed-source applications in industry}, volume = 66, year = 2021 }
Elmoujarkach, E., AlNadwi, F., Banoqitah, E. and Alhawsawi, A.: Nanoparticle-infused ABS filament for 3D-printed materials and uses for neutron detection and discrimination, European/American Patent, 03/09/2021, US 10,941,274 B1.
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@patent{elmoujarkach2021nanoparticleinfused, annote = {US 10,941,274 B1}, author = {Elmoujarkach, Ezzat and AlNadwi, Fuad and Banoqitah, Essam and Alhawsawi, Abdulsalam}, keywords = {ElmoujarkachEzzat}, month = {03}, note = {European/American}, title = {Nanoparticle-infused ABS filament for 3D-printed materials and uses for neutron detection and discrimination}, year = 2021 }
Banoqitah, E., Elmoujarkach, E., Alnadwi, F., Alhawsawi, A. M. and Alawi, M.: A Simulation Analysis for Thermal Neutron Applications of ABS 3D Printing Filament Doped with Nanoparticles, Arabian Journal for Science and Engineering, 2021, DOI: 10.1007/s13369-021-05482-1.
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- [ URL ]
@article{Banoqitah_2021, author = {Banoqitah, Essam and Elmoujarkach, Ezzat and Alnadwi, Fuad and Alhawsawi, Abdulsalam M. and Alawi, Mohammed}, journal = {Arabian Journal for Science and Engineering}, keywords = {imt}, month = {03}, publisher = {Springer Science and Business Media {LLC}}, title = {A Simulation Analysis for Thermal Neutron Applications of {ABS} 3D Printing Filament Doped with Nanoparticles}, year = 2021 }
Abolaban, F., Alawi, M., Taha, E., Elmoujarkach, E., Banoqitah, E., Alhawsawi, A., Maio, P. D., Lopopolo, G., Tolomeo, A., Dimiccoli, V. and Nisbet, A.: ESTIMATION OF THERMAL & EPITHERMAL NEUTRON FLUX AND GAMMA DOSE DISTRIBUTION IN A MEDICAL CYCLOTRON FACILITY FOR RADIATION PROTECTION PURPOSES USING GOLD FOILS AND GATE 9, Radiation Protection Dosimetry, Volume 193(Issue 3-4), Pages 176–184, 2021, DOI: https://doi.org/10.1093/rpd/ncab034.
- [ BibTeX ]
- [ URL ]
@article{noauthororeditor, abstract = {The aim of this study is to characterise the neutron flux generated directly behind targets used in medical cyclotrons. The characterisation process aims at determining the feasibility of using the generated neutrons for research purposes in neutron activation analysis. The study was performed by activating gold foils placed directly behind the cyclotron targets. The thermal and epithermal neutron flux were found to be 4.5E+05 ± 8.78E+04 neutrons cm−2 s−1 and 2.13E+06 ± 8.59E+04 neutrons cm−2 s−1, respectively. The flux value is the same order of magnitude listed in the manual produced by the cyclotron manufacturer. The results are encouraging and show high potential for using the cyclotron facility as a thermal neutron source for research purposes. However, it is important radiation protection procedures be followed to ensure the safety of researchers due to the high gamma dose rate measured directly behind the target at 2.46 Sv/h using an OSL chip during the beam on time.}, author = {Abolaban, Fouad and Alawi, Mohammed and Taha, Eslam and Elmoujarkach, Ezzat and Banoqitah, Essam and Alhawsawi, Abdulsalam and Maio, Paolo De and Lopopolo, Gaetano and Tolomeo, Anna and Dimiccoli, Vincenzo and Nisbet, Andrew}, journal = {Radiation Protection Dosimetry}, keywords = {ElmoujarkachEzzat}, month = {03}, number = {Issue 3-4}, pages = {Pages 176–184}, title = {ESTIMATION OF THERMAL & EPITHERMAL NEUTRON FLUX AND GAMMA DOSE DISTRIBUTION IN A MEDICAL CYCLOTRON FACILITY FOR RADIATION PROTECTION PURPOSES USING GOLD FOILS AND GATE 9}, volume = {Volume 193}, year = 2021 }

2020[ to top ]

Elmoujarkach, E., Djouider, F. and AlJohani, M.: Slow neutron chemical dosimeter using Cr(VI)—Gd mixture, European/American Patent, 12/29/2020, US 10,877,166 B1.
- [ BibTeX ]
@patent{elmoujarkach2020neutron, annote = {US 10,877,166 B1}, author = {Elmoujarkach, Ezzat and Djouider, Fathi and AlJohani, Mohammed}, keywords = {ElmoujarkachEzzat}, month = 12, note = {European/American}, title = {Slow neutron chemical dosimeter using Cr(VI)—Gd mixture}, year = 2020 }

2019[ to top ]

Elmoujarkach, E., Alzahrani, Y., Siddig, M. and Alhawsawi, A.: The Impact of Adding Two Nuclear Reactors to Saudi Arabia National Grid in Reduction of Carbon Dioxide Emissions, 2019.
- [ BibTeX ]
@inproceedings{inproceedings, author = {Elmoujarkach, Ezzat and Alzahrani, Yahya and Siddig, Mohammed and Alhawsawi, Abdulsalam}, keywords = {ElmoujarkachEzzat}, month = 10, title = {The Impact of Adding Two Nuclear Reactors to Saudi Arabia National Grid in Reduction of Carbon Dioxide Emissions}, year = 2019 }

2018[ to top ]

Banoqitah, E., Taha, E., Elmoujarkach, E., Alsebaie, S., Subahi, A. and Alsharif, S.: A Monte Carlo study of arms effect in myocardial perfusion of normal and abnormal cases utilizing STL heart shape, Results in Physics, 10, 323–331, 2018, DOI: 10.1016/j.rinp.2018.06.028.
- [ BibTeX ]
- [ URL ]
@article{Banoqitah_2018, author = {Banoqitah, Essam and Taha, Eslam and Elmoujarkach, Ezzat and Alsebaie, Sahar and Subahi, Ahmad and Alsharif, Shaza}, journal = {Results in Physics}, keywords = {ElmoujarkachEzzat}, month = {09}, pages = {323–331}, publisher = {Elsevier {BV}}, title = {A Monte Carlo study of arms effect in myocardial perfusion of normal and abnormal cases utilizing {STL} heart shape}, volume = 10, year = 2018 }

2016[ to top ]

Elmoujarkach, E. A. and Banoqitah, E. M.: GAMOS based simulation using gamma back- scattered photons count method for mine detection, 1–6, 2016, DOI: 10.1109/RST.2016.7869860.
- [ BibTeX ]
- [ URL ]
@inproceedings{7869860, abstract = {Mine detection is one of the major fields that has been improving since the end of World War II. Due to the importance of saving lives, it's a necessity to detect a mine before it is triggered. The variety of mine types created the variety of ways and methods to detect them The most commonly used method to detect mines is using a metal detector. However, sometimes metal detectors are not ideal to be used for mine detection due to lack of conductive materials in the mine. The objective is to develop a method to detect mines from both metallic and non-metallic materials, by using a gamma ray emitter source and a GAM OS simulation toolkit to simulate this situation. Back scattered photon counting was the method used, which works for mines made of both light and heavy materials.}, author = {{Elmoujarkach}, E. A. and {Banoqitah}, E. M.}, booktitle = {2016 International Workshop on Recent Advances in Robotics and Sensor Technology for Humanitarian Demining and Counter-IEDs (RST)}, keywords = {ElmoujarkachEzzat}, month = 10, pages = {1-6}, title = {GAMOS based simulation using gamma back- scattered photons count method for mine detection}, year = 2016 }

Theses

Ezzat Elmoujarkach, Design and Development of a Portable Tomosynthesis Imaging System Using Gamma Radiography, Bachelor thesis, King Abdulaziz University, Jeddah, Saudi Arabia, 2015.

Ezzat Elmoujarkach, Development of a Chemical Dosimeter for Fast and Slow Neutrons, Master thesis, King Abdulaziz University, Jeddah, Saudi Arabia, 2019.