Methods for enhancing the robustness of the generalized contrast-to-noise ratio
The generalized contrast-to-noise ratio (gCNR) is a new but increasingly popular metric for
measuring lesion detectability due to its use of probability distribution functions that increase …
measuring lesion detectability due to its use of probability distribution functions that increase …
Combining ADMIRE and MV to improve image quality
Aperture domain model image reconstruction (ADMIRE) is a frequency-domain, model-
based beamformer, in part designed for removing reverberation and off-axis clutter …
based beamformer, in part designed for removing reverberation and off-axis clutter …
Spatiotemporal coherence to quantify sources of image degradation in ultrasonic imaging
EP Vienneau, KA Ozgun… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Thermal noise and acoustic clutter signals degrade ultrasonic image quality and contribute
to unreliable clinical assessment. When both noise and clutter are prevalent, it is difficult to …
to unreliable clinical assessment. When both noise and clutter are prevalent, it is difficult to …
Enhancing sizing accuracy in ultrasound images with an alternative ADMIRE model and dynamic range considerations
Ultrasound imaging can struggle with sizing accuracy, especially when the targets have a
significantly different amplitude compared to the surrounding background. In this work, we …
significantly different amplitude compared to the surrounding background. In this work, we …
Breaking and fixing gCNR and histogram matching
Generalized contrast-to-noise ratio (gCNR) and histogram matching are methods developed
to better measure the performance of modern adaptive beamformers. Both use histograms to …
to better measure the performance of modern adaptive beamformers. Both use histograms to …
An inverse method using Cross spectral Matrix Fitting for passive cavitation imaging
High intensity focused ultrasound (HIFU) can produce cavitation, which requires monitoring
for specific applications such as sonoporation, targeted drug delivery or histotripsy. Passive …
for specific applications such as sonoporation, targeted drug delivery or histotripsy. Passive …
Unfolding model-based beamforming for high quality ultrasound imaging
C Khan, RJG van Sloun, B Byram - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Aperture Domain Model Image REconstruction (ADMIRE) is an advanced ultrasound
beamforming method that uses a model-based approach to suppress sources of acoustic …
beamforming method that uses a model-based approach to suppress sources of acoustic …
Performing aperture domain model image reconstruction (ADMIRE) using a deep neural network sparse encoder
C Khan, RJG Van Sloun… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Aperture Domain Model Image REconstruction (ADMIRE) is an advanced ultrasound
beamforming method that uses a model-based approach to suppress sources of acoustic …
beamforming method that uses a model-based approach to suppress sources of acoustic …
Expanding gCNR into a clinically relevant measure of lesion detectability by considering size and spatial resolution
Early image quality metrics were often designed with clinicians in mind, and ideally better
metrics would correlate with the subjective opinion of clinically better images. Over time …
metrics would correlate with the subjective opinion of clinically better images. Over time …
Using ADMIRE to improve minimum variance performance in the presence of reverberation clutter
Reverberation clutter is a difficult source of image degradation in patients, and minimum
variance (MV) in particular is poorly equipped to handle such sources, as we demonstrate …
variance (MV) in particular is poorly equipped to handle such sources, as we demonstrate …