Deconvolution based on sparsity and continuity improves the quality of ultrasound image
X Li, X Zhang, C Fan, Y Chen, J Zheng, J Gao… - Computers in Biology …, 2024 - Elsevier
The application of ultrasound (US) image has been limited by its limited resolution, inherent
speckle noise, and the impact of clutter and artifacts, especially in the miniaturized devices …
speckle noise, and the impact of clutter and artifacts, especially in the miniaturized devices …
Spatial coherence approaches to distinguish suspicious mass contents in fundamental and harmonic breast ultrasound images
When compared to fundamental B-mode imaging, coherence-based beamforming, and
harmonic imaging are independently known to reduce acoustic clutter, distinguish solid from …
harmonic imaging are independently known to reduce acoustic clutter, distinguish solid from …
Using domain adaptive deep neural networks to improve transthoracic echocardiography
L Cui, C Khan, YC Pan, S Schlunk… - Medical Imaging …, 2024 - spiedigitallibrary.org
We previously showed that domain adaptive deep neural networks (DNNs) can outperform
delay-and-sum (DAS) beamforming in the context of abdominal imaging. We hypothesize …
delay-and-sum (DAS) beamforming in the context of abdominal imaging. We hypothesize …
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 …