A5039381130- Advanced X-ray and CT Imaging
- Particle physics theoretical and experimental studies
- Medical Imaging Techniques and Applications
- Radiation Therapy and Dosimetry
- Quantum Chromodynamics and Particle Interactions
- Nuclear Physics and Applications
- Radiation Dose and Imaging
- High-Energy Particle Collisions Research
- Advanced Radiotherapy Techniques
- Neutrino Physics Research
- Radiomics and Machine Learning in Medical Imaging
- Atomic and Subatomic Physics Research
- Particle Detector Development and Performance
- Ion-surface interactions and analysis
- AI in cancer detection
- Single-cell and spatial transcriptomics
- Boron Compounds in Chemistry
- Gold and Silver Nanoparticles Synthesis and Applications
- X-ray Spectroscopy and Fluorescence Analysis
- Electron and X-Ray Spectroscopy Techniques
- Space Technology and Applications
- Mass Spectrometry Techniques and Applications
- Bacterial Identification and Susceptibility Testing
- Chemotherapy-induced cardiotoxicity and mitigation
- Cosmology and Gravitation Theories
University College London
2023-2025
Centre Hospitalier de l’Université de Montréal
2020-2024
Université de Montréal
2008-2024
Polytechnique Montréal
2014
Plasmonics (United States)
2014
We report a hyperspectral reflected light microscopy system for plasmonic nanoparticle (NP) imaging, and compare with conventional darkfield method spatial localization spectroscopic identification of single Au, Ag Au/Ag alloy NPs incubated fixed human cancer cell preparations.
Abstract Integrated-mode proton radiography leading to water equivalent thickness (WET) maps is an avenue of interest for motion management, patient positioning, and in vivo range verification. Radiographs can be obtained using a pencil beam scanning setup with large 3D monolithic scintillator coupled optical cameras. Established reconstruction methods either (1) involve camera at the distal end scintillator, or (2) use lateral view as telescope. Both approaches lead limited image quality....
Abstract Background Incorporating image guidance into ion beam therapy is critical for minimizing range uncertainties and realizing the modality's potential. One promising avenue to capture transmission radiographs (iRads) before and/or during treatment. iRad quality typically maximized using a single‐event imaging system, which involves tracking individual ions, albeit approach generally not suited clinical settings. An alternative faster clinically compatible method integrated mode...
Purpose To evaluate the quantitative imaging performance of a spectral photon‐counting computed tomography (SPCCT) scanner for radiotherapy applications. An experimental comparison Siemens dual‐energy CT (DECT) and MARS SPCCT is performed to estimate physical properties relevant human substitute materials contrast agent solutions. In materials, accuracy quantities photon therapy, proton Monte‐Carlo simulations, such as electron density, stopping power, elemental composition evaluated. For...
Motion of lung tumors during radiotherapy leads to decreased accuracy the delivered dose distribution. This is especially true for proton due finite range beam. Methods mitigating motion rely on knowing position tumor treatment. Proton radiography uses treatment beam, at an energy high enough traverse patient, produce a radiograph. work shows first results using integrated-mode system track moving objects in experimental phantom study; demonstrating potential this method measuring motion....
The purpose of this work is to evaluate the impact single-, dual- and multi-energy CT (SECT, DECT MECT) on proton range uncertainties in a patient like geometry full Monte Carlo environment. A virtual generated from real pelvis scan, where known mass densities elemental compositions are overwritten each voxel. Simulated images for SECT, MECT two limiting cases: (1) theoretical idealistic numbers only affected by Gaussian noise (case A, best scenario) (2) reconstructed polyenergetic sinograms...
The aim of this study is to use a simulation environment evaluate the potential using photon-counting CT (PCCT) against dual-energy (DECT) in context quantitative contrast-enhanced for radiotherapy. An adaptation Bayesian eigentissue decomposition by Lalonde et al (2017 Med. Phys. 44 5293-302) that incorporates estimation contrast agent fractions and virtual non-contrast (VNC) parameters proposed, its performance validated conventional maximum likelihood material methods single multiple...
Objective. In proton therapy there is a need for optimised tissue-equivalent materials as existing phantom can produce large uncertainties in the determination of absorbed dose and range measurements. The aim this work to develop characterise therapy.Approach. A mathematical model was developed enable formulation epoxy-resin based that are all relevant interactions protons with matter, well photon interactions, which play role acquisition CT numbers. This formulations vertebra bone- skeletal...
Purpose The stoichiometric calibration method for dual‐energy CT (DECT) proposed by Bourque et al. ( Phys Med Biol . 59 :2059; 2014), which provides estimators of the electron density and effective atomic number, is adapted to a maximum posteriori (MAP) framework increase model’s robustness noise biases in data, specifically human tissues. Robust physical parameter estimation from noisy DECT scans required maximize precision quantities used radiotherapy treatment planning such as proton...
With the advent of novel cancer treatment options such as immunotherapy, studying tumour immune micro-environment is crucial to inform on prognosis and understand response therapeutic agents. A key approach characterising may be through combining (1) digitised microscopic high-resolution optical images hematoxylin eosin (H&E) stained tissue sections obtained in routine histopathology examinations with (2) automated cell detection classification methods. However, current individual models for...
The purpose of this study is to investigate the potential k-means clustering efficiently reduce variety materials needed in Monte Carlo (MC) dose calculation. A numerical phantom with 31 human tissues surrounded by water created. K-means used group clusters constant elemental composition. Four different distance measures are perform technique: Euclidean, Standardized Chi-Squared and Cityblock. Dose distributions calculated MC simulations for both low-kV photons MeV protons using clustered...
Purpose: We propose a one-step tissue characterization method for spectral photon-counting computed tomography (SPCCT) using eigentissue decomposition (ETD), tailored highly accurate human in radiotherapy. Methods: The approach combines Poisson likelihood, spatial prior, and quantitative prior constraining fractions based on expected values tabulated tissues. There are two regularization parameters: α the β prior. is validated realistic simulation environment SPCCT. impact of evaluated...
Abstract Mitotic activity is an important feature for grading several cancer types. However, counting mitotic figures (cells in division) a time-consuming and laborious task prone to inter-observer variation. Inaccurate recognition of MFs can lead incorrect hence potential suboptimal treatment. This study presents artificial intelligence-based approach detect digitised whole-slide images stained with haematoxylin eosin. Advances this area are hampered by the small size variety datasets...
The purpose of this work is, firstly, to propose an optimized parametrization the attenuation coefficient describe human tissues in context projection-based material characterization with multi-energy CT. approach is based on eigentissue decomposition (ETD). Secondly, evaluate its benefits terms accuracy and precision radiotherapy-related parameters against established parametrizations. parametrized as a linear combination virtual materials, eigentissues, obtained by performing principal...