Deep learning for ultrasound image formation: CUBDL evaluation framework and open datasets
Deep learning for ultrasound image formation is rapidly garnering research support and
attention, quickly rising as the latest frontier in ultrasound image formation, with much …
attention, quickly rising as the latest frontier in ultrasound image formation, with much …
Deep learning to obtain simultaneous image and segmentation outputs from a single input of raw ultrasound channel data
Single plane wave transmissions are promising for automated imaging tasks requiring high
ultrasound frame rates over an extended field of view. However, a single plane wave …
ultrasound frame rates over an extended field of view. However, a single plane wave …
Upstream machine learning in radiology
Discussion The standard radiology workflow can undergo 7 steps:(1) conversion of a
patient's clinical question into a radiology examination order, usually performed by a …
patient's clinical question into a radiology examination order, usually performed by a …
Superiorized photo-acoustic non-negative reconstruction (SPANNER) for clinical photoacoustic imaging
Photoacoustic (PA) imaging can revolutionize medical ultrasound by augmenting it with
molecular information. However, clinical translation of PA imaging remains a challenge due …
molecular information. However, clinical translation of PA imaging remains a challenge due …
Differentiable beamforming for ultrasound autofocusing
Ultrasound images are distorted by phase aberration arising from local sound speed
variations in the tissue, which lead to inaccurate time delays in beamforming and loss of …
variations in the tissue, which lead to inaccurate time delays in beamforming and loss of …
Reverberation noise suppression in ultrasound channel signals using a 3D fully convolutional neural network
Diffuse reverberation is ultrasound image noise caused by multiple reflections of the
transmitted pulse before returning to the transducer, which degrades image quality and …
transmitted pulse before returning to the transducer, which degrades image quality and …
Real-time volumetric synthetic aperture software beamforming of row–column probe data
Two delay-and-sum beamformers for 3-D synthetic aperture imaging with row-column
addressed arrays are presented. Both beamformers are software implementations for …
addressed arrays are presented. Both beamformers are software implementations for …
Accelerated 2-D real-time refraction-corrected transcranial ultrasound imaging
M Mozaffarzadeh, DJE Verschuur… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In a recent study, we proposed a technique to correct aberration caused by the skull and
reconstruct a transcranial B-mode image with a refraction-corrected synthetic aperture …
reconstruct a transcranial B-mode image with a refraction-corrected synthetic aperture …
High-level synthesis design of scalable ultrafast ultrasound beamformer with single FPGA
Ultrafast ultrasound imaging is essential for advanced ultrasound imaging techniques such
as ultrasound localization microscopy (ULM) and functional ultrasound (fUS). Current …
as ultrasound localization microscopy (ULM) and functional ultrasound (fUS). Current …
A real-time, GPU-based implementation of aperture domain model image reconstruction
Multipath and off-axis scattering are two of the primary mechanisms for ultrasound image
degradation. To address their impact, we have proposed Aperture Domain Model Image …
degradation. To address their impact, we have proposed Aperture Domain Model Image …