Digital Path Approach Despeckle Filter for Ultrasound Imaging and Video

Area of Science:

• Medical Imaging
• Image Processing
• Biomedical Engineering

Background:

• Ultrasound imaging is crucial for medical diagnosis.
• Multiplicative noise degrades ultrasound image quality, hindering accurate interpretation.
• Existing denoising algorithms may not effectively address multiplicative noise.

Purpose of the Study:

• To develop a novel filtering technique for reducing multiplicative noise in ultrasound images.
• To improve upon existing digital path-based denoising algorithms.
• To enhance the efficiency and applicability of filtering for ultrasound video streams.

Main Methods:

• Extension of digital path-based denoising algorithms.
• Filter weights calculated based on pixel intensity similarity within local neighborhoods (paths).
• Introduction of improved similarity functions and spatiotemporal extension for multiplicative noise.

Main Results:

• The proposed filter effectively reduces multiplicative noise in ultrasound images.
• Achieved comparable performance to state-of-the-art noise removal techniques.
• Demonstrated suitability for real-time image enhancement of video streams.

Conclusions:

• The novel digital path-based filtering technique offers an effective solution for multiplicative noise in ultrasound.
• The method provides comparable results to existing techniques while enabling real-time applications.
• This approach has the potential to improve diagnostic accuracy through enhanced ultrasound image quality.