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Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

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[Affine transformation-based automatic registration for peripheral digital subtraction angiography (DSA)].

Gang Kong¹, Dao-Qing Dai, Lu-Min Zou

¹School of Mathematics and Computational Science of Sun Yat-Sen University.

Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation

|November 1, 2008

Summary

This study presents an automatic image registration algorithm for peripheral digital subtraction angiography (DSA) to eliminate motion artifacts. The method achieves sub-pixel precision, ensuring clinical viability with efficient processing times.

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Area of Science:

Medical Imaging
Computer Vision
Image Processing

Context:

Peripheral digital subtraction angiography (DSA) is prone to motion artifacts that can obscure diagnostic details.
Accurate image registration is crucial for artifact reduction in DSA.
Existing methods may lack the precision or efficiency required for clinical application.

Purpose:

To introduce an affine transformation-based automatic image registration algorithm for peripheral DSA.
To develop a method for effectively removing motion artifacts in DSA images.
To achieve sub-pixel precision in image registration for improved DSA quality.

Summary:

The algorithm constructs feature templates from Harris corners and estimates motion vectors using template matching with maximum histogram energy.
Optimal affine transformation parameters are determined via matrix singular value decomposition (SVD).
Bilinear intensity interpolation is applied for artifact removal, demonstrating sub-pixel precision in over 30 peripheral DSA registrations.

Impact:

Successfully removes moving artifacts from peripheral DSA images with sub-pixel accuracy.
Demonstrates efficiency and robustness suitable for clinical requirements.
Enhances the diagnostic quality of peripheral DSA by reducing motion-related artifacts.