Point Detection in Ultrasound Using Prewhitening and Multilook Optimization

Thon, Stine Hverven; Hansen, Roy Edgar; Austeng, Andreas

doi:10.1109/tuffc.2022.3167923

Cited by 3 publications

(1 citation statement)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [16], the combination of multi-line and short-lag spatial coherence (SLSC) methods is used to suppress the clutter and better reveal the point targets. In [17], a multilook-based technique was developed to increase the probability of detection. In this algorithm, the pre-whitening method was also used to improve the SNR and further suppress the noise level.…”

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%