A5002329936- Advanced Radiotherapy Techniques
- Radiation Therapy and Dosimetry
- Medical Imaging Techniques and Applications
- Radiation Detection and Scintillator Technologies
- Radiation Effects in Electronics
- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Lung Cancer Diagnosis and Treatment
- Nuclear Physics and Applications
- Radiation Dose and Imaging
- Nuclear reactor physics and engineering
- Ultrasound and Hyperthermia Applications
- Radiation Effects and Dosimetry
- Advanced MRI Techniques and Applications
- Atomic and Subatomic Physics Research
- Particle accelerators and beam dynamics
- Glioma Diagnosis and Treatment
- Boron Compounds in Chemistry
- Head and Neck Cancer Studies
- Esophageal Cancer Research and Treatment
- Advanced NMR Techniques and Applications
- Digital Radiography and Breast Imaging
- Health Systems, Economic Evaluations, Quality of Life
- Effects of Radiation Exposure
- Advances in Oncology and Radiotherapy
UCLouvain
2016-2025
KU Leuven
2016-2025
Universitair Ziekenhuis Leuven
2019-2024
Proton (United Kingdom)
2024
Institut Universitaire de Recherche Clinique
2022-2023
European Society for Therapeutic Radiology and Oncology
2015-2022
Directorate-General Joint Research Centre
2022
Cliniques Universitaires Saint-Luc
2007-2021
Shandong Normal University
2017
Klinikum rechts der Isar
2016
The use of neural networks to directly predict three-dimensional dose distributions for automatic planning is becoming popular. However, the existing methods only patient anatomy as input and assume consistent beam configuration all patients in training database. purpose this work was develop a more general model that considers variable configurations addition achieve comprehensive with potentially easier clinical implementation, without need train specific models different settings.The...
Purpose: Accuracy in proton therapy treatment planning can be improved using Monte Carlo (MC) simulations. However the long computation time of such methods hinders their use clinical routine. This work aims to develop a fast multipurpose simulation tool for massively parallel central processing unit (CPU) architectures. Methods: A new Carlo, called MCsquare (many‐core Carlo), has been designed and optimized last generation Intel Xeon processors Phi coprocessors. These architectures offer...
Purpose To determine whether individual liver tumor patients can be safely treated with pencil beam scanning proton therapy. This study reports a planning preparation workflow that used for angle selection and the evaluation of efficacy abdominal compression ( AC ) to mitigate motion. Methods Four‐dimensional computed tomography scans (4 DCT without were available from 10 fluoroscopy‐proven motion reduction by , previously using photons. For each scan, amplitudes motion‐induced variation...
Abstract Purpose The purpose of this study was to address the dosimetric accuracy synthetic computed tomography (sCT) images patients with brain tumor generated using a modified generative adversarial network (GAN) method, for their use in magnetic resonance imaging (MRI)‐only treatment planning proton therapy. Methods Dose volume histogram (DVH) analysis performed on CT and sCT plans intensity‐modulated therapy (IMPT). All were robustly optimized commercially available system (RayStation,...
Automated treatment planning strategies are being widely implemented in clinical routines to reduce inter-planner variability, speed up the optimization process, and improve plan quality. This study aims evaluate feasibility quality of intensity-modulated proton therapy (IMPT) plans generated with four different knowledge-based (KBP) pipelines fully integrated into a commercial system (TPS).A data set containing 60 oropharyngeal cancer patients was split 11 folds, each 47 for training, five...
The Anisotropic Analytical Algorithm (AAA) is a new pencil beam convolution/superposition algorithm proposed by Varian for photon dose calculations. configuration of AAA depends on linear accelerator design and specifications. purpose this study was to investigate the accuracy an Elekta SL25 small fields intensity modulated radiation therapy (IMRT) treatments in inhomogeneous media. evaluated two studies. First, compared both with Monte Carlo (MC) measurements phantom simulating lung...
Proton and ion beam therapies become increasingly relevant in radiation therapy. To fully exploit the potential of this irradiation technique to achieve maximum target volume conformality, verification particle ranges is highly desirable. Many research activities focus on measurement spatial distributions prompt gamma rays emitted during irradiation. A passively collimating knife-edge slit camera a promising option perform such measurements. In former publications, feasibility accurate...
Objective. To evaluate from a planning point of view the dose distribution adaptive radiation escalation in head and neck squamous cell carcinoma (HNSCC) using 18F-Fluoroazomycin arabinoside (FAZA) positron emission tomography/computed tomography (PET-CT).Material/methods. Twelve patients with locally advanced HNSCC underwent three FAZA PET-CT before treatment, after 7 fractions 17 carboplatin-5FU chemo-radiotherapy regimen (70 Gy 2 per fraction over weeks). The constraints were that every...
Intensity-modulated proton therapy (IMPT) offers excellent dose conformity and healthy tissue sparing, but it can be substantially compromised in the presence of anatomical changes. A major dosimetric effect is caused by density changes, which alter planned range patient. Three different methods, automatically restore an IMPT plan on a daily CT image were implemented compared: (1) simple restoration (DR) using optimization objectives initial plan, (2) voxel-wise (vDR), (3) isodose volume...
Abstract Particle therapy (PT) used for cancer treatment can spare healthy tissue and reduce toxicity. However, full exploitation of the dosimetric advantages PT is not yet possible due to range uncertainties, warranting development range-monitoring techniques. This study proposes a novel technique introducing unexplored concept simultaneous detection imaging fast neutrons prompt-gamma rays produced in beam-tissue interactions. A quasi-monolithic organic detector array proposed, its...
Abstract Objective. To compare a not adapted (NA) robust planning strategy with three fully automated online adaptive proton therapy (OAPT) workflows based on the same optimization method: dose mimicking (DM). The added clinical value and limitations of OAPT methods are investigated for head neck cancer (HNC) patients. Approach. strategies aimed at compensating inter-fractional anatomical changes by mimiking different distributions corrected cone beam CT images (corrCBCTs). Order complexity,...
Abstract Background In cancer care, determining the most beneficial treatment technique is a key decision affecting patient's survival and quality of life. Patient selection for proton therapy (PT) over conventional radiotherapy (XT) currently entails comparing manually generated plans, which requires time expertise. Purpose We developed an automatic fast tool, AI‐PROTIPP (Artificial Intelligence Predictive Radiation Oncology Treatment Indication to Photons/Protons), that assesses...