Adrien Besson
YOU?
Author Swipe
View article: A Path-Based Model for Aberration Correction in Ultrasound Imaging
A Path-Based Model for Aberration Correction in Ultrasound Imaging Open
Pulse-Echo Ultrasound Imaging suffers from several sources of image degradation. In clinical conditions, superficial layers made of different tissues (e.g. skin, fat or muscles) create aberrations that can severely deteriorate image qualit…
View article: Inverse Problems With Multiple Plane Waves: The Angular Simplification
Inverse Problems With Multiple Plane Waves: The Angular Simplification Open
In unfocused ultrasound imaging, a delay-and-sum algorithm is commonly used to reconstruct one image per emission. When multiple emissions are performed, individual images can be combined by coherent compounding to improve image quality. A…
View article: Quantitative ultrasound for steatosis assessment using Hepatoscope®: Confounding technical factors
Quantitative ultrasound for steatosis assessment using Hepatoscope®: Confounding technical factors Open
Quantitative ultrasound (QUS) is a well-suited modality to address large-scale screening and monitoring of liver steatosis as it is low-cost, non-invasive, and point-of-care. However, technical and biological confounders lead to difficulti…
View article: Refraction-Based Speed of Sound Estimation in Layered Media: An Angular Approach
Refraction-Based Speed of Sound Estimation in Layered Media: An Angular Approach Open
Speed of sound estimation in ultrasound imaging is a growing modality with several clinical applications such as hepatic steatosis stages quantification. A key challenge for clinically relevant speed of sound estimation is to obtain repeat…
View article: CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI
CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI Open
Finite rate of innovation (FRI) is a powerful reconstruction framework enabling the recovery of sparse Dirac streams from uniform low-pass filtered samples. An extension of this framework, called generalised FRI (genFRI), has been recently…
View article: Backside-illuminated scientific CMOS detector for soft X-ray resonant scattering and ptychography
Backside-illuminated scientific CMOS detector for soft X-ray resonant scattering and ptychography Open
The impressive progress in the performance of synchrotron radiation sources is nowadays driven by the so-called `ultimate storage ring' projects which promise an unprecedented improvement in brightness. Progress on the detector side has no…
View article: Sparse convolutional plane-wave compounding for ultrasound imaging
Sparse convolutional plane-wave compounding for ultrasound imaging Open
Ultrafast ultrasound imaging enables imaging at kilohertz frame rates, at the cost of a degraded image quality in terms of contrast and resolution. To reach an image quality comparable to focused imaging, the standard technique is coherent…
View article: On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging : Invited Presentation
On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging : Invited Presentation Open
Recently, many pulse-echo ultrasound (US) imaging methods have relied on the transmission of unfocused wavefronts. Such a strategy allows for very high frame rates at the cost of a degraded image quality. In this work, we present a regular…
View article: A Physical Model of Nonstationary Blur in Ultrasound Imaging
A Physical Model of Nonstationary Blur in Ultrasound Imaging Open
While restoration methods have been extensively studied in ultrasound (US) imaging, only few recent works have focused on modeling and understanding the blur from a physical point of view even in simple configurations, such as lossless hom…
View article: Joint Sparsity With Partially Known Support and Application to Ultrasound Imaging
Joint Sparsity With Partially Known Support and Application to Ultrasound Imaging Open
We investigate the benefits of known partial support for the recovery of joint-sparse signals and demonstrate that it is advantageous in terms of recovery performance for both rank-blind and rank-aware algorithms. We suggest extensions of …
View article: Sparse Recovery of Strong Reflectors with an Application to Non-Destructive Evaluation
Sparse Recovery of Strong Reflectors with an Application to Non-Destructive Evaluation Open
In this paper we show that it is sufficient to recover the locations of K strong reflectors within an insonified medium from three receive elements and 2K+1 samples per element. The proposed approach leverages advances in sampling signals …
View article: Deep Convolutional Neural Network for Ultrasound Image Enhancement
Deep Convolutional Neural Network for Ultrasound Image Enhancement Open
The problem of improving image quality in ultrafast ultrasound (US) imaging by means of regularized iterative algorithms has raised a vast interest in the US community. These approaches usually rely on standard image processing priors, suc…
View article: Compressive Multiplexing of Ultrasound Signals
Compressive Multiplexing of Ultrasound Signals Open
High-quality 3D ultrasound (US) imaging requires dense matrix-array probes with thousands of elements and necessitates an unrealistic number of coaxial cables to connect such probes to back-end systems. To address this issue, many techniqu…
View article: Pulse-Stream Models in Time-of-Flight Imaging
Pulse-Stream Models in Time-of-Flight Imaging Open
This paper considers the problem of reconstructing raw signals from random projections in the context of time-of-flight imaging with an array of sensors. It presents a new signal model, coined as multi-channel pulse-stream model, which exp…
View article: Imaging from Echoes: On Inverse Problems in Ultrasound
Imaging from Echoes: On Inverse Problems in Ultrasound Open
Ultrasound (US) imaging is currently living a revolution. On the one hand, ultrafast US imaging, a novel way of acquiring and producing US images, has paved the way to several advanced imaging modes, e.g. shear-wave elastography, ultrafast…
View article: Ultrafast Ultrasound Imaging as an Inverse Problem: Matrix-Free Sparse Image Reconstruction
Ultrafast Ultrasound Imaging as an Inverse Problem: Matrix-Free Sparse Image Reconstruction Open
Conventional ultrasound (US) image reconstruction methods rely on delay-and-sum (DAS) beamforming, which is a relatively poor solution to the image reconstruction problem. An alternative to DAS consists in using iterative techniques, which…
View article: A deep learning approach to ultrasound image recovery
A deep learning approach to ultrasound image recovery Open
Based on the success of deep neural networks for image recovery, we propose a new paradigm for the compression and decompression of ultrasound~(US) signals which relies on stacked denoising autoencoders. The first layer of the network is u…
View article: Learning the weight matrix for sparsity averaging in compressive imaging
Learning the weight matrix for sparsity averaging in compressive imaging Open
We propose to map the fast iterative shrinkage-thresholding algorithm to a deep neural network (DNN), with a sparsity prior in a concatenation of wavelet bases, in the context of compressive imaging. We exploit the DNN architecture to lear…
View article: USSR: An ultrasound sparse regularization framework
USSR: An ultrasound sparse regularization framework Open
Ultrafast ultrasound (US) imaging uses unfocused waves to insonify the whole medium of interest at once, allowing pulse-echo US imaging to achieve very high frame rates, at the cost of a lower image quality. In this paper, we present USSR,…
View article: On an analytical, spatially-varying, point-spread-function
On an analytical, spatially-varying, point-spread-function Open
The point spread function (PSF), namely the response of an ultrasound system to a point source, is a powerful measure of the quality of an imaging system. The lack of an analytical formulation inhibits many applications ranging from apodiz…
View article: Performance of the HERMES beamline at the carbon K-edge
Performance of the HERMES beamline at the carbon K-edge Open
Contamination of soft X-rays beamline optics due to carbon cracking and deposition under X- ray irradiation is especially critical for spectromicroscopy operations near the carbon K-absorption edge from organic materials, polymers and nano…
View article: Beamforming-deconvolution: A novel concept of deconvolution for ultrasound imaging
Beamforming-deconvolution: A novel concept of deconvolution for ultrasound imaging Open
In ultrasound (US) imaging, beamforming is usually separated from the deconvolution or some other post-processing techniques. The former processes raw data to build radio-frequency (RF) images while the latter restore high-resolution image…
View article: A compressed-sensing approach for ultrasound imaging
A compressed-sensing approach for ultrasound imaging Open
Ultrasonography uses multiple piezo-electric element probes to image tissues. Current time-domain beamforming techniques require the signal at each transducer-element to be sampled at a rate higher than the Nyquist criterion, resulting in …
View article: Extension of Fourier-Based Techniques for Ultrafast Imaging in Ultrasound With Diverging Waves
Extension of Fourier-Based Techniques for Ultrafast Imaging in Ultrasound With Diverging Waves Open
Ultrafast ultrasound imaging has become an intensive area of research thanks to its capability in reaching high frame rates. In this paper, we propose a scheme that allows the extension of the current Fourier-based techniques derived for p…
View article: A Sparse Reconstruction Framework for Fourier-Based Plane-Wave Imaging
A Sparse Reconstruction Framework for Fourier-Based Plane-Wave Imaging Open
Ultrafast imaging based on plane-wave (PW) insonification is an active area of research due to its capability of reaching high frame rates. Among PW imaging methods, Fourier-based approaches have demonstrated to be competitive compared wit…
View article: Morphological component analysis for sparse regularization in plane wave imaging
Morphological component analysis for sparse regularization in plane wave imaging Open
Classical ultrasound image reconstruction mainly relies on the well-known delay-and-sum (DAS) beamforming for its simplicity and real-time capability. Sparse regularization methods propose an alternative to DAS which lead to a better inver…
View article: A compressed beamforming framework for ultrafast ultrasound imaging
A compressed beamforming framework for ultrafast ultrasound imaging Open
Classical beamforming methods, based on Delay- And-Sum (DAS) require an extensive number of samples and delay calculations to obtain high-quality images. Compressed Beamforming (CB) proposes an alternative to DAS, based on compressed sensi…
View article: Compressed delay-and-sum beamforming for ultrafast ultrasound imaging
Compressed delay-and-sum beamforming for ultrafast ultrasound imaging Open
The theory of compressed sensing (CS) leverages upon structure of signals in order to reduce the number of samples needed to reconstruct a signal, compared to the Nyquist rate. Although CS approaches have been proposed for ultrasound (US) …