Removal of image intensifier veiling glare by mathematical deconvolution techniques

Area of Science:

• Medical Imaging
• Image Processing
• Physics

Background:

• X-ray imaging systems utilizing image intensifier detector systems are prone to veiling glare.
• Veiling glare is a low-frequency image degradation phenomenon.
• This degradation is characterized by a point spread function (PSF).

Purpose of the Study:

• To develop and evaluate a method for deconvolving veiling glare from X-ray images.
• To improve image quality by reducing low-frequency degradation.
• To enhance the contrast ratio of objects in de-noised images.

Main Methods:

• Characterizing the point spread function (PSF) with two experimentally determined parameters specific to the image intensifier.
• Utilizing the PSF information to perform deconvolution on digitally acquired X-ray images.
• Applying image restoration techniques post-deconvolution.

Main Results:

• Successful deconvolution of veiling glare degradation from X-ray images.
• Demonstrated a significant increase in the contrast ratio of high-contrast objects.
• Achieved enhanced image quality through restoration.

Conclusions:

• The proposed deconvolution method effectively removes veiling glare.
• Image quality, specifically contrast, is significantly improved in X-ray images.
• This technique offers a valuable tool for enhancing medical imaging analysis.