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Updated: Apr 27, 2026
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Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
Published on: June 3, 2018
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Left ventricular four-dimensional rotational angiography with low radiation dose through interphase registration
Jean-Yves Wielandts1, Stijn De Buck2, Joris Ector3
1Department of Cardiovascular Sciences, KU Leuven, B-3000 Leuven, Belgium Medical Imaging Research Center, KU Leuven & UZ Leuven, B-3000 Leuven, Belgium jean-yves.wielandts@uzleuven.be.
Summary
This study developed a novel algorithm for creating dynamic 3D models of the left ventricle (LV) from low-dose imaging. The improved image quality and faster generation times enable better guidance for ventricular tachycardia ablations.
Area of Science:
- Medical Imaging
- Cardiovascular Imaging
- Computational Imaging
Background:
- Four-dimensional (4D) visualization of the left ventricle (LV) can aid in anatomy-guided ventricular tachycardia ablations.
- Low-dose, noisy rotational angiography (3DRA) datasets present challenges for creating accurate 4D LV models.
Purpose of the Study:
- To develop an algorithm for improving signal-to-noise ratio in low-dose 3DRA datasets.
- To enable semi-automatic segmentation and generation of 4D rotational angiography (4DRA) LV surface models.
Main Methods:
- Developed a novel slow pacing protocol for low-dose 4DRA imaging.
- Applied interphase registration (IPR) to enhance contrast-to-noise ratio (CNR).
- Constructed four-phase dynamic LV models and assessed accuracy using surface distance measures.
Main Results:
- IPR significantly improved CNR by 88% and segmentation accuracy.
- Achieved significant improvements in root mean square distance (RMSD) and Hausdorff distance (HD).
- Reduced 4D model generation time by approximately 50% (11.5 min vs. 22 min).
Conclusions:
- Interphase registration enhances 4DRA image quality and facilitates accurate semi-automatic segmentation.
- The method produces clinically useful 4D LV models from low-dose protocols.
- This technique shows promise for routine clinical application in 4D imaging.
