Distortion correction for digital subtraction angiography imaging: PC based system for radiosurgery planning

Area of Science:

• Medical Imaging
• Image Processing
• Radiosurgery Technology

Background:

• Digital subtraction angiography (DSA) is crucial for visualizing vasculature.
• Image distortions in DSA can impact diagnostic accuracy and treatment planning.
• Accurate image correction is essential for precision procedures like radiosurgery.

Purpose of the Study:

• To develop and validate a PC-based system for correcting DSA image distortions.
• To assess the system's accuracy and efficiency for clinical applications.
• To evaluate the system's suitability for radiosurgery planning.

Main Methods:

• Development of a two-module software system using Interactive Data Language (IDL) on a PC.
• Automatic detection and correction of image distortions using grid phantom and clinical images.
• Quantitative assessment of image correction accuracy using root mean square (rms) deviations.

Main Results:

• The system accurately corrects DSA image distortions, achieving an average rms deviation of ~0.1 mm on phantom images.
• Corrected clinical images showed residual mean rms deviation of 0.34+/-0.19 mm and maximum error of 0.59+/-0.26 mm.
• The correction process takes approximately 4 minutes per image and handles arbitrary lateral oblique angles.

Conclusions:

• The developed PC-based system effectively corrects DSA image distortions with high accuracy.
• The system's performance is suitable for the stringent requirements of stereotactic radiosurgery.
• This tool offers a valuable solution for improving image-guided procedures in clinical practice.