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Normalized Spatial Autocorrelation in Ultrasound B-Mode Imaging for Point-Scatterer Detection.

Cuijuan Lou¹, Zhaohui Liu², Ming Yuchi²

¹Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou, China; Henan Key Laboratory of Grain Photoelectric Detection and Control, Henan University of Technology, Zhengzhou, China; School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou, China.

Ultrasound in Medicine & Biology

|February 8, 2024

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Normalized spatial autocorrelation in ultrasound B-mode imaging (NSACB) improves point-scatterer detection by enhancing resolution and reducing sidelobe levels. This method offers significant improvements over traditional techniques in medical ultrasound imaging.

Area of Science:

Medical Imaging
Ultrasound Technology
Signal Processing

Background:

Point-scatterer detection is crucial for medical ultrasound B-mode imaging.
Speckle noise and limited spatial resolution hinder accurate point-scatterer detection.

Purpose of the Study:

To introduce a novel method, normalized spatial autocorrelation in ultrasound B-mode imaging (NSACB), to enhance point-scatterer detection.
To evaluate the effectiveness of NSACB in improving image resolution and reducing noise.

Main Methods:

Data pre-processing with Gaussian white noise (GWN) and signal-to-Gaussian white noise ratio (SGWNR).
Application of normalized spatial autocorrelation to create signals with varying spatial lags.
Utilizing unsigned delay multiply and sum (DMAS) and bandpass filtering around twice the center frequency.

Keywords:

Delay multiply and sum Normalized spatial autocorrelation Point-scatterer detection Sidelobes Speckle reduction Ultrasound B-mode imaging

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Main Results:

NSACB achieved lateral resolution as low as 11.11% of DAS and reduced sidelobe levels by up to 28 dB in simulations.
Experimental results showed NSACB resolution reaching 18.76% of DAS, with sidelobe reduction of at least 18 dB.
The proposed NSACB method demonstrated superior performance compared to DAS, F-DMAS, and LAG-FDMAS-SCF.

Conclusions:

NSACB significantly enhances lateral resolution and reduces sidelobe levels in ultrasound B-mode imaging.
While NSACB may cause some loss in observing hypo-echoic structures, its potential for scatterer detection in various clinical scenarios is promising.
Further research is suggested to explore NSACB's utility in detecting microcalcifications, kidney stones, and for biopsy needle tracking.