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) imaging with promising results, practical implementations are hard to achieve due to the impossibility to mimic random sampling on a US probe and to the high memory requirements of the measurement model. In this paper, we propose a CS framework for US imaging based on an easily implementable acquisition scheme and on a delay-and-sum measurement model
In this paper we propose a novel framework for compressive sampling reconstruction of biomedical ult...
Ultrasound computed tomography (UCT) allows reconstruction of quantitative tissue characteristics. L...
National audienceOne of the fundamental theorem in information theory is the so-called sampling theo...
Classical beamforming methods, based on Delay- And-Sum (DAS) require an extensive number of samples ...
Conventional ultrasound (US) image reconstruction methods rely on delay-and-sum (DAS) beamforming, w...
International audienceUltrafast imaging based on plane-wave (PW) insonification is an active area of...
High resolution ultrasound image reconstruction from a reduced number of measurements is of great in...
Assessing cardiac function with trans-thoracic ultrasound is a challenging task, mainly due to its f...
High sampling rate is necessary for a quality ultrasound image, which demands expensive data-acquisi...
Emerging sonography techniques often imply increasing in the num-ber of transducer elements involved...
Ultrafast ultrasound (US) imaging based on plane wave (PW) insonification is a widely used modality ...
Abstract — One of the fundamental theorem in information theory is the so-called sampling theorem al...
International audienceCompressive sensing in ultrasound imaging has previously been introduced by th...
International audienceOne of the fundamental theorem in information theory is the so-called sampling...
In this paper we propose a novel framework for compressive sampling reconstruction of biomedical ult...
Ultrasound computed tomography (UCT) allows reconstruction of quantitative tissue characteristics. L...
National audienceOne of the fundamental theorem in information theory is the so-called sampling theo...
Classical beamforming methods, based on Delay- And-Sum (DAS) require an extensive number of samples ...
Conventional ultrasound (US) image reconstruction methods rely on delay-and-sum (DAS) beamforming, w...
International audienceUltrafast imaging based on plane-wave (PW) insonification is an active area of...
High resolution ultrasound image reconstruction from a reduced number of measurements is of great in...
Assessing cardiac function with trans-thoracic ultrasound is a challenging task, mainly due to its f...
High sampling rate is necessary for a quality ultrasound image, which demands expensive data-acquisi...
Emerging sonography techniques often imply increasing in the num-ber of transducer elements involved...
Ultrafast ultrasound (US) imaging based on plane wave (PW) insonification is a widely used modality ...
Abstract — One of the fundamental theorem in information theory is the so-called sampling theorem al...
International audienceCompressive sensing in ultrasound imaging has previously been introduced by th...
International audienceOne of the fundamental theorem in information theory is the so-called sampling...
In this paper we propose a novel framework for compressive sampling reconstruction of biomedical ult...
Ultrasound computed tomography (UCT) allows reconstruction of quantitative tissue characteristics. L...
National audienceOne of the fundamental theorem in information theory is the so-called sampling theo...