A5042682235- Advanced MRI Techniques and Applications
- Medical Image Segmentation Techniques
- Medical Imaging Techniques and Applications
- Nanoplatforms for cancer theranostics
- Cerebrovascular and Carotid Artery Diseases
- MRI in cancer diagnosis
- Neural Networks and Applications
- Image Processing and 3D Reconstruction
- Radiomics and Machine Learning in Medical Imaging
- Neuroscience and Neuropharmacology Research
- Ultrasonics and Acoustic Wave Propagation
- Lanthanide and Transition Metal Complexes
- Machine Learning in Bioinformatics
- Cardiac Imaging and Diagnostics
- Radiopharmaceutical Chemistry and Applications
- AI in cancer detection
- Epilepsy research and treatment
- Barrier Structure and Function Studies
- Advanced Electron Microscopy Techniques and Applications
- Boron Compounds in Chemistry
- Ultrasound and Hyperthermia Applications
- Glioma Diagnosis and Treatment
- Biometric Identification and Security
- Nuclear Physics and Applications
- Brain Tumor Detection and Classification
Cedrat Technologies (France)
2022-2025
Grenoble Institute of Neurosciences
2018-2024
Université Grenoble Alpes
2019-2024
Institut national de recherche en informatique et en automatique
2019-2024
Centre Inria de l'Université Grenoble Alpes
2019-2024
Centre National de la Recherche Scientifique
2020-2024
Institut polytechnique de Grenoble
2020-2024
Inserm
2019-2024
Centre Jean Perrin
2024
Laboratoire Rhéologie et Procédés
2022
AGuIX, a novel gadolinium-based nanoparticle, has been deployed in pioneering double-blinded Phase II clinical trial aiming to assess its efficacy enhancing radiotherapy for tumor treatment. This paper moves towards this goal by analyzing AGuIX uptake patterns 23 patients. A phantom was designed establish the relationship between concentration and longitudinal (
Abstract Objective Inflammatory cerebrovascular damage occurs in epilepsy. Here, we tested the hypothesis that a pericyte‐glia scar forms around outer wall of hippocampal capillaries model temporal lobe epilepsy associated with sclerosis. We studied participation stromal cells expressing platelet‐derived growth factor receptor beta (PDGFRβ) and extracellular matrix modifications to perivascular during epileptogenesis. Methods used NG2DsRed/C57BL6 mice induced status epilepticus (SE) followed...
This article presents an open source software able to convert, display, and process medical images. It differentiates itself from the existing by its ability design complex processing pipelines wisely execute them on a large databases. An MP3 pipeline can contain unlimited homemade or ready-made processes be carried out with parallel execution system. As viewer, allows display of up four images together draw Regions Of Interest (ROI). Two applications showing strengths are presented as...
Abstract Magnetic resonance (MR) vascular Fingerprinting proposes to use the MR framework quantitatively and simultaneously map several characteristics that emerge from structure much smaller than voxel size. The initial implementation assessed local blood oxygenation saturation (SO2), volume fraction (BVf), vessel averaged radius (R) in humans rodent brains using simple 2D representations of network during dictionary generation. In order improve results possibly extend approach pathological...
Standard parameter estimation from vascular magnetic resonance fingerprinting (MRF) data is based on matching the MRF signals to their best counterparts in a grid of coupled simulated and parameters, referred as dictionary. To reach good accuracy, requires an informative dictionary whose cost, terms design, storage exploration, rapidly prohibitive for even moderate numbers parameters. In this work, we propose alternative dictionary-based statistical learning (DB-SL) approach made three...
Abstract Objective Improving the identification of epileptogenic zone and associated seizure‐spreading regions represents a significant challenge. Innovative brain‐imaging modalities tracking neurovascular dynamics during seizures may provide new disease biomarkers. Methods With use multi‐parametric magnetic resonance imaging (MRI) analysis at 9.4 Tesla, we examined, elaborated, combined multiple cellular cerebrovascular MRI read‐outs as biomarkers seizure‐propagating regions. Analyses were...
Background The measurement of the concentration theranostic agents in vivo is essential for assessment their therapeutic efficacy and safety regarding healthy tissue. To this end, there a need quantitative T 1 measurements that can be obtained as part standard clinical imaging protocol applied to tumor patients. Purpose generate maps from MR images with magnetization‐prepared rapid gradient echo (MPRAGE) sequence. evaluate feasibility proposed approach on phantoms, animal patients brain...
MR vascular Fingerprinting proposes to use the framework quantitatively and simultaneously map several microvascular characteristics at a sub-voxel scale. The initial implementation assessed local blood oxygenation saturation (SO 2), volume fraction (BVf) vessel averaged radius (R) in humans rodent brains using simple 2D representations of network during dictionary generation. In order improve results possibly extend approach pathological environments other biomarkers, we propose this study...
MR vascular fingerprinting aims at mapping cerebral properties such as blood volume and oxygenation. We propose to improve the technique by generating dictionaries based on 3D networks segmented from whole brain high-resolution (3 µm isotropic) microscopy datasets. In order compensate for limited number of available data long computing times, we used a machine-learning reconstruction process generalize our results tested approach in healthy, stroke tumor animal models. Our show...