Adaptive window space direction laser speckle contrast imaging to improve vascular visualization

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Optical Physics

Background:

• Vascular visualization is essential for diagnosing and treating vascular diseases.
• Laser Speckle Contrast Imaging (LSCI) is a common technique for imaging blood flow.
• Traditional LSCI methods suffer from noise due to fixed-sized sliding windows.

Purpose of the Study:

• To develop an improved LSCI method for enhanced noise reduction and image quality.
• To optimize blood flow imaging in shallow and exposed vessels.
• To reveal more microvascular structure information, particularly in deeper vessels.

Main Methods:

• Proposed a novel approach by dividing laser speckle contrast images into regions.
• Utilized a variance criterion to select suitable pixels for calculation within each region.
• Adapted the analysis window's shape and size at vascular boundary regions.

Main Results:

• Achieved significant noise reduction compared to traditional LSCI.
• Demonstrated improved image quality, especially for imaging deeper vessels.
• Successfully revealed more detailed microvascular structure information.

Conclusions:

• The proposed LSCI method offers superior performance in noise reduction and image quality.
• This technique enhances the visualization of microvascular structures in deeper vessels.
• The findings contribute to more accurate diagnosis and monitoring of vascular diseases.