Research on detection method of bleeding point in two-dimensional DSA image based on parametric color imaging

Area of Science:

• Medical Imaging
• Radiology
• Cardiovascular Diagnostics

Background:

• Digital Subtraction Angiography (DSA) is crucial for detecting vascular bleeding.
• Current DSA analysis relies on subjective interpretation of grayscale images.
• Objective quantitative standards are needed for improved diagnostic accuracy.

Purpose of the Study:

• To develop a parametric color imaging technique for Digital Subtraction Angiography (DSA).
• To assist physicians in more accurately and rapidly diagnosing vascular bleeding points.
• To establish quantitative standards for DSA analysis.

Main Methods:

• Parametric color imaging processing applied to 2D DSA image sequences.
• Calculation of five parameters: AUC, time to peak, development time, transit time, and contrast agent flow rate.
• Pseudo-color processing to map parameter values to image pixels, validated with simulated and clinical DSA data.

Main Results:

• The study evaluated multiple parameters derived from DSA image processing.
• Analysis included 33 in-vitro hemorrhage datasets and 42 clinical vascular bleeding point cases.
• The development time parameter's color imaging results showed significant utility in assisting diagnosis.

Conclusions:

• Parametric color imaging enhances DSA analysis for vascular bleeding detection.
• Development time imaging is a promising tool for objective and efficient diagnosis of bleeding points.
• This technique offers a quantitative approach to supplement subjective DSA interpretation.