A5005741842- Advanced Radiotherapy Techniques
- Medical Imaging Techniques and Applications
- Radiation Therapy and Dosimetry
- Radiopharmaceutical Chemistry and Applications
- Laser-Matter Interactions and Applications
- Prostate Cancer Treatment and Research
- Laser-Plasma Interactions and Diagnostics
- Advanced X-ray and CT Imaging
- Radiation Detection and Scintillator Technologies
- Laser-induced spectroscopy and plasma
- Nuclear reactor physics and engineering
- Advanced MRI Techniques and Applications
- Gas Dynamics and Kinetic Theory
- High-pressure geophysics and materials
- Radiomics and Machine Learning in Medical Imaging
- Nuclear Physics and Applications
- Particle Detector Development and Performance
- Advanced Thermodynamics and Statistical Mechanics
- Advanced Biosensing Techniques and Applications
- Advanced Surface Polishing Techniques
- MRI in cancer diagnosis
- Cancer Immunotherapy and Biomarkers
- Atomic and Subatomic Physics Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Electron and X-Ray Spectroscopy Techniques
University of Bern
2021-2025
University Hospital of Bern
2021-2024
Klinik und Poliklinik für Nuklearmedizin
2021-2022
Centre Lasers Intenses et Applications
2015-2020
Université de Bordeaux
2015-2020
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2015-2020
Centre National de la Recherche Scientifique
2015-2020
Institut Bergonié
2017
University of Milano-Bicocca
2013
Pre-therapy dosimetry prediction is a prerequisite for treatment planning and personalized optimization of the emerging radiopharmaceutical therapy (RPT). Physiologically based pharmacokinetic (PBPK) model, describing intrinsic pharmacokinetics radiopharmaceuticals, have been proposed pre-therapy dosimetry. However, it restricted with organ-wise customization on measurements still challenging. On other side, artificial intelligence (AI) has demonstrated potential in prediction. Nevertheless,...
Radioligand therapy (RLT) targeting prostate specific-membrane antigen (PSMA) is an emerging treatment for metastatic castration-resistant cancer (mCRPC). It administrates 225Ac- or 177Lu-labeled ligands the targeted killing of tumor cells. Differently from X- γ-ray, emitted α β particles ionization DNA molecule less dependent on tissue oxygenation status. Furthermore, diffusion range electrons in a much larger than volume typically spanned by hypoxic regions. Therefore, hypoxia investigated...
Organs-on-Chips (OOCs), microdevices mimicking in vivo organs, find growing applications disease modeling and drug discovery. With the increasing number of uses comes a strong demand for imaging capabilities OOCs as monitoring physiologic processes within is vital continuous improvement this technology. Positron Emission Tomography (PET) would be ideal OOC imaging, however, current PET systems are insufficient task due to their inadequate spatial resolution. In work, we propose concept an...
We studied the transport of an intense electron beam produced by high intensity laser pulses through metals and insulators. Targets were irradiated at two different intensities, 1017 W/cm2 1019 W/cm2, facility Xtreme Light XL-III in Beijing, a Ti:Sa source emitting 40 fs 800 nm. The main diagnostic was Cu-Kα fluorescence imaging. Images Kα spots have been collected for those target thickness, materials. Experimental results are analyzed taking into account both collisional collective effects...
This paper shows how electromagnetic pulses mitigation is performed on the LMJ-PETAL laser facility. In particular, authors show suppression for joint shots with appropriate time delay between LMJ nanosecond beams and PETAL picosecond beam.
We report the lifetime of intense-laser (2×10^{19} W/cm^{2}) generated relativistic electron pulses in solids by measuring time evolution their Cherenkov emission. Using a picosecond resolution optical Kerr gating technique, we demonstrate that electrons remain as long 50 picoseconds-more than 1000 times longer incident light pulse. Numerical simulations propagation and emitted radiation with Monte Carlo geant4 package reproduce striking experimental findings.
Laser-driven ion acceleration by intense, ultra-short, laser pulse has received increasing attention in recent years, and the availability of much compact versatile ions sources motivates study of laser-driven energetic neutral atoms. We demonstrate production a and directional beam hydrogen carbon atoms up to 200 keV per nucleon, with peak flow 2.7 x 10(13) atom s(-1). Laser accelerated are neutralized in pulsed, supersonic argon jet tunable density between 1.5 x 10(17) cm(-3) 6 10(18)...
The good efficacy of radioligand therapy (RLT) targeting prostate specific-membrane antigen (PSMA) for the treatment metastatic castration-resistant cancer (mCRPC) has been recently demonstrated in several clinical studies. However, effect 177Lu-PSMA-ligands is still suboptimal a significant fraction patients. In contrast to external beam radiotherapy, radiation dose distribution itself strongly influenced by heterogeneous tumour microenvironment. Although microdosimetry critical RLT...
Positron Emission Tomography (PET) is among the most commonly used medical imaging modalities in clinical practice, especially for oncological applications. In contrast to conventional like X-ray Computed (CT) or Magnetic Resonance Imaging (MRI), PET retrieves vivo information about biochemical processes rather than just anatomical structures. However, physical limitations and detector constraints lead an order of magnitude lower spatial resolution images. recent years, use monolithic...
Ziel/Aim Targeted radioligand therapy (RLT) with PSMA ligands is an emerging treatment option for metastatic castration-resistant prostate cancer (mCRPC). However, despite its encouraging early results, dose personalization remains a challenge. Hence, planning has become vital optimizing the RLT practice. Deep learning was proposed to predict post-therapy distribution based on pre-therapy imaging. it still challenging pure data-driven model dissect complex pharmacokinetic relation behind...
Ziel/Aim Organoids, stem-cell-derived three-dimensional tissue cultures, find increasing applications ranging from disease modeling to drug discovery and personalized medicine. These growing numbers of uses lead strong demand for novel measurement capabilities. In this abstract, we present the first steps developing an on-chip PET system capable imaging organoids. Here aimed prove concept improving reconstruction gamma-ray interaction position using deep learning methods.