A5056862222- Ultrasound Imaging and Elastography
- Seismic Imaging and Inversion Techniques
- Photoacoustic and Ultrasonic Imaging
- Ultrasonics and Acoustic Wave Propagation
- Ultrasound and Hyperthermia Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Computational Techniques in Science and Engineering
- Image and Signal Denoising Methods
- Medical Imaging Techniques and Applications
- Hearing Loss and Rehabilitation
- Parallel Computing and Optimization Techniques
- Context-Aware Activity Recognition Systems
- Acoustic Wave Phenomena Research
- Topic Modeling
- Speech and Audio Processing
- Gaussian Processes and Bayesian Inference
- Generative Adversarial Networks and Image Synthesis
- Drilling and Well Engineering
- Emotion and Mood Recognition
- Cell Image Analysis Techniques
- Reservoir Engineering and Simulation Methods
- Hydraulic Fracturing and Reservoir Analysis
- Time Series Analysis and Forecasting
Imperial College London
2020-2023
Florida International University
2020
Universidad Politécnica de Madrid
2017
Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or phase delays correct skull distortions. To allow intercomparison between different modeling tools and techniques by community, an international working group was convened formulate a set numerical benchmarks. Here, these benchmarks presented, along with results. Nine increasing geometric complexity defined. These include...
Advanced ultrasound computed tomography techniques like full-waveform inversion are mathematically complex and orders of magnitude more computationally expensive than conventional imaging methods. This computational algorithmic complexity, a lack open-source libraries in this field, represent barrier preventing the generalised adoption these techniques, slowing pace research, hindering reproducibility. Consequently, we have developed Stride, an Python library for solution large-scale...
Despite being a low-cost, portable and safe medical imaging technique, transcranial ultrasound is not used widely in adults because of the severe degradation distortion signals caused by skull. Full-waveform inversion (FWI) has recently been found to have potential as an effective method for tomography obtain high-quality, subwavelength-resolution acoustic models brain using low-frequency data. In this study first demonstration recovering high-resolution 2-D reconstruction skull phantom...
Bayesian methods are a popular research direction for inverse problems. There variety of techniques available to solve Bayes' equation, each with their own strengths and limitations. Here, we discuss stochastic variational inference (SVI), which solves equation using gradient-based methods. This is important applications time-limited (e.g. medical tomography) or where solving the forward problem expensive adjoint methods). To evaluate use SVI in both these contexts, apply it ultrasound...
Ultrasound computed tomography techniques have the potential to provide clinicians with 3D, quantitative and high-resolution information of both soft hard tissues such as breast or adult human brain. Their practical application requires accurate modelling acquisition setup: spatial location, orientation, impulse response each ultrasound transducer. However, existing calibration methods fail accurately characterise these transducers unless their size can be considered negligible when compared...
Accurate wave-equation modeling is becoming increasingly important in modern imaging and therapeutic ultrasound methodologies, such as computed tomography, optoacoustic or high-intensity-focused ultrasound. All of them rely on the ability to accurately model physics wave propagation, including accurate characterization transducers, physical devices that are responsible for generating recording energy. However, existing methods fail characterize transducer response with accuracy required...
Abstract The Microsoft Kinect is a motion‐sensing device that enables users to interact with computer through body movements. was initially developed for video game (e.g., Xbox) although another important use may be as an automated system measuring human behavior. To demonstrate the potential utility of behavioral measurement, we asked adults perform various repetitive behaviors while in view sensor. Data collected from analyzed via Matrix Laboratory (MATLAB) program generating frequency...
Quantitative evaluations of differences and/or similarities between data samples define and shape optimisation problems associated with learning distributions. Current methods to compare often suffer from limitations in capturing such distributions or lack desirable mathematical properties for (e.g. smoothness, differentiability, convexity). In this paper, we introduce a new method measure (dis)similarities paired inspired by Wiener-filter theory. The convolutional nature Wiener filters...
During investigations on the use of acoustic metamaterials for correction skull-induced aberrations ultrasonic beam neurological applications, inconsistencies in results reported literature have been found. Stemming from these discrepancies, an analytical model is introduced this study attempt to behavior metamaterial by using Method Reciprocal Theorem. Its inefficacy explaining observed phenomenon proved and, consequently, engineering solution proposed that allows mathematical modelling...
Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or phase delays correct skull distortions. To allow intercomparison between different modeling tools and techniques by community, an international working group was convened formulate a set numerical benchmarks. Here, these benchmarks presented, along with results. Nine increasing geometric complexity defined. These include...
A tomographic technique called full-waveform inversion has recently shown promise as a fast, affordable, and safe modality to image the brain using ultrasound. However, its high computational cost memory footprint currently limit clinical applicability. Here, we address these challenges through frequency-adaptive discretisation of imaging domain lossy compression techniques. Because relies on adjoint-state method, every iteration involves solving wave equation over discretised spatiotemporal...