Point scatterer enhancement in ultrasound by wavelet coefficient shrinkage

Hverven, Stine M.; Rindal, Ole Marius Hoel; Hunter, Alan J.; Austeng, Andreas

doi:10.1109/ultsym.2017.8092971

Cited by 4 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The outputs of these algorithms were overlaid on the B-mode image to determine the distribution of microcalcifications. In [14], a coherence-based wavelet coefficient shrinkage method was proposed in order to suppress the background speckle and increase the probability of point target identification. In [15], a correlation-based method known as the excitelet method was proposed which leads to resolution improvement and artifact reduction of the final image.…”

mentioning

confidence: 99%

A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging

Paridar,

Asl

2024

IEEE Access

View full text Add to dashboard Cite

Ultrasound plane wave imaging is an ultrafast technique to obtain the reconstructed images in real-time. However, identifying the point targets (such as microcalcifications) is challenging in this imaging technique due to the presence of strong acoustic clutter. In this paper, a compressive sensing (CS)-based algorithm, named modified-CS (M-CS), is proposed which can be used to accurately identify the point targets. In the proposed algorithm, the processing matrix is divided into some non-overlapping sub-matrices, and each part is processed separately. Then, the output passes through the thresholding and localization processes to obtain the locations of the point targets. Compared to the conventional CS algorithm, identifying the point targets in deeper regions of the imaging medium is provided using the M-CS algorithm. Also, due to the usage of smaller sub-matrices, the proposed M-CS algorithm speeds up, and also, needs less memory compared to the conventional CS algorithm. The simulation results confirm the good performance of the proposed algorithm.

show abstract

mentioning

confidence: 99%

A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging

Paridar,

Asl

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

Ongoing Research Areas in Ultrasound Beamforming

Mohammadzadeh Asl,

Paridar

2023

Springer Tracts in Electrical and Electronics Engineering

View full text Add to dashboard Cite

Advances in ultrasonography: image formation and quality assessment

Hasegawa

2021

J Med Ultrasonics

View full text Add to dashboard Cite

Delay-and-sum (DAS) beamforming is widely used for generation of B-mode images from echo signals obtained with an array probe composed of transducer elements. However, the resolution and contrast achieved with DAS beamforming are determined by the physical specifications of the array, e.g., size and pitch of elements. To overcome this limitation, adaptive imaging methods have recently been explored extensively thanks to the dissemination of digital and programmable ultrasound systems. On the other hand, it is also important to evaluate the performance of such adaptive imaging methods quantitatively to validate whether the modification of the image characteristics resulting from the developed method is appropriate. Since many adaptive imaging methods have been developed and they often alter image characteristics, attempts have also been made to update the methods for quantitative assessment of image quality. This article provides a review of recent developments in adaptive imaging and image quality assessment.

show abstract

Point scatterer enhancement in ultrasound by wavelet coefficient shrinkage

Cited by 4 publications

References 6 publications

A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging

A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging

Ongoing Research Areas in Ultrasound Beamforming

Advances in ultrasonography: image formation and quality assessment

Contact Info

Product

Resources

About