A5031305429- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Radiotherapy Techniques
- Advanced X-ray and CT Imaging
- Physics of Superconductivity and Magnetism
- Radiopharmaceutical Chemistry and Applications
- Advanced Condensed Matter Physics
- Lung Cancer Diagnosis and Treatment
- Advanced MRI Techniques and Applications
- Superconducting Materials and Applications
- Radiation Therapy and Dosimetry
- Glioma Diagnosis and Treatment
- Rare-earth and actinide compounds
- Magnetic properties of thin films
- Radiation Dose and Imaging
- Iron-based superconductors research
- Brain Tumor Detection and Classification
- Health, Medicine and Society
- Healthcare Systems and Practices
- Health Systems, Economic Evaluations, Quality of Life
- Brain Metastases and Treatment
- Medical Imaging and Analysis
- Nuclear Physics and Applications
- Cardiac Imaging and Diagnostics
- Theoretical and Computational Physics
Centre François Baclesse
2019-2025
Centre François Baclesse
2020-2024
Onco Lille
2022
Institut universitaire du cancer de Toulouse Oncopole
2019
Oslo University Hospital
2018
Vrije Universiteit Brussel
2017
Universitair Ziekenhuis Brussel
2016-2017
3E (Belgium)
2017
Centre Hospitalier Universitaire Brugmann
2016
Institut Claudius Regaud
2010-2014
The de Haas-van Alphen effect was observed in the underdoped cuprate YBa2Cu3O6.5 via a torque technique pulsed magnetic fields up to 59 T. Above field of approximately 30 T magnetization exhibits clear quantum oscillations with single frequency 540 and cyclotron mass 1.76 times free electron mass, excellent agreement previously Shubnikov-de Haas oscillations. obey standard Lifshitz-Kosevich formula Fermi-liquid theory. This thermodynamic observation confirms existence well-defined, closed,...
By improving the experimental conditions and extensive data accumulation, we have achieved very high precision in measurements of de Haas--van Alphen effect underdoped high-temperature superconductor ${\mathrm{YBa}}_{2}{\mathrm{Cu}}_{3}{\mathrm{O}}_{6.5}$. We find that main oscillation, so far believed to be single frequency, is composed three closely spaced frequencies. attribute this bilayer splitting warping a quasi-2D Fermi surface, indicating $c$ axis coherence restored at low...
Entropy is a promising quantitative imaging biomarker for characterizing cancer phenotype. has been associated with tumor gene expression, metabolism, stage, patient prognosis, and treatment response. Our hypothesis states that tumor-specific biomarkers such as entropy should be correlated between synchronous metastases. Therefore, significant proportion of the variance attributed to malignant process. We analyzed 112 patients matched/paired metastases (SM#1 SM#2) prospectively enrolled in...
We investigated whether artificial intelligence (AI)-based denoising halves PET acquisition time in digital PET/CT.One hundred ninety-five patients referred for [18F]FDG PET/CT were prospectively included. Body acquisitions performed list mode. Original "PET90" (90 s/bed position) was compared to reconstructed ½-duration (45 with and without AI-denoising, "PET45AI PET45". Denoising by SubtlePET™ using deep convolutional neural networks. Visual global image quality (IQ) 3-point scores lesion...
Abstract Background The common endocrine disorder primary hyperparathyroidism (PHPT) can be cured by surgery. Preoperative localization of parathyroid adenoma (PTA) imaging is a prerequisite for outpatient minimally invasive parathyroidectomy (MIP). Compared to inpatient bilateral cervical exploration (BCE) which performed if inconclusive, MIP superior in terms cure and complication rates less costly. procedure F18-choline (FCH) PET/CT outperforms Tc99m-sestaMIBI (MIBI) SPECT/CT PTA...
A study of the antiferromagnet CeRh$_2$Si$_2$ by torque, magnetostriction, and transport in pulsed magnetic fields up to 50 Tesla thermal expansion static 13 is presented. The field-temperature phase diagram CeRh$_2$Si$_2$, where field applied along easy axis $\mathbf{c}$, deduced from these measurements. second-order transition temperature $T_{N}$ first-order $T_{1,2}$ (=~36 K 26 at zero-field, respectively) decrease with increasing field. field-induced antiferromagnetic-to-paramagnetic...
This study assesses the accuracy of prospective phase-gated PET/CT data binning and presents a retrospective method that improves image quality consistency. Respiratory signals from 17 patients who underwent 4D were analysed to evaluate reproducibility temporal triggers used for standard phase-based gating method. Breathing reprocessed implement PET binning. The mean deviation time lags between automatic provided by Real-time Position Management (RPM, Varian) device inhalation peaks derived...
With a constantly increasing number of diagnostic images performed each year, Artificial Intelligence (AI) denoising methods offer an opportunity to respond the growing demand. However, it may affect information in image unknown manner. This study quantifies effect AI-based on FDG PET textural comparison convolution with standard gaussian postfilter (EARL1).The was carried out 113 patients who underwent digital PET/CT (VEREOS, Philips Healthcare). 101 avid lesions were segmented...
Respiratory motion creates artifacts in positon emission tomography with computed (PET/CT) images especially for lung tumors, and can alter diagnosis. To account effects, respiratory gating techniques have been developed. However, the lack of measures strongly correlated tumor limits their accuracy. The authors developed a real-time pneumotachograph device (SPI) allowing to sort PET CT depending on volumes.The performance this innovative tracking system was characterized compared standard...
We present measurements of the resistivity $\rho_{x,x}$ URu2Si2 high-quality single crystals in pulsed high magnetic fields up to 81~T at a temperature 1.4~K and 60~T temperatures down 100~mK. For field \textbf{H} applied along easy-axis \textbf{c}, strong sample-dependence low-temperature hidden-order phase is attributed carrier mobility. The interplay between orbital properties emphasized by angle-dependence diagram, where transition crossover related Fermi surface follow...
Magnetic resonance imaging (MRI) is predominant in the therapeutic management of cancer patients, unfortunately, patients have to wait a long time get an appointment for examination. Therefore, new MRI devices include deep-learning (DL) solutions save acquisition time. However, impact these algorithms on intensity and texture parameters has been poorly studied. The aim this study was evaluate resampling denoising DL models radiomics.Resampling model developed 14,243 T1 brain images from...
Arc therapy allows for better dose deposition conformation, but the radiotherapy plans (RT plans) are more complex, requiring patient-specific pre-treatment quality assurance (QA). In turn, QA adds to workload. The objective of this study was develop a predictive model Delta4-QA results based on RT-plan complexity indices reduce workload.Six were extracted from 1632 RT VMAT plans. A machine learning (ML) developed classification purpose (two classes: compliance with plan or not). For complex...
The yield per elution of a 68Ge/68Ga generator decreases during its lifespan. This affects the number patients injected or dose patient, thereby negatively affecting cost examinations and quality PET images due to increased image noise. We aimed investigate whether AI-based denoising can offset this decrease in parameters.All addressed our unit for 68Ga-DOTATOC PET/CT from April 2020 February 2021 were enrolled. Forty-four underwent their scans according Protocol_FixedDose (150 MBq) 32...