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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
Non-rigid registration based on hierarchical deformation of coronary arteries in CCTA images
Heeryeol Jeong1, Taeyong Park2, Seungwoo Khang1
1School of Computer Science and Engineering , Soongsil University , 369 Sangdo-Ro, Dongjak-Gu, Seoul, 06978 Korea.
Insights
This study introduces a fast and precise method for non-rigid registration of blood vessels in cardiac CT angiography (CTA) images. The technique aids in diagnosing and treating coronary artery diseases with high accuracy and speed.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Cardiovascular Imaging
Background:
- Accurate registration of temporal 3D cardiac CT angiography (CTA) images is crucial for diagnosing and treating coronary artery diseases.
- Non-rigid registration of blood vessels presents challenges due to anatomical variability and dynamic changes.
Purpose of the Study:
- To develop an accurate and rapid non-rigid registration method for blood vessels in temporal 3D cardiac CTA images.
- To provide auxiliary information for improved diagnosis and treatment planning of coronary artery diseases.
Main Methods:
- Global rigid registration of 3D vessel centerlines from temporal CTA images.
- Point matching and outlier removal using vessel characteristics (thickness, gradient).
- Hierarchical local non-rigid registration via an energy function.
Main Results:
- Achieved an average registration error of 0.987 mm.
- Demonstrated an average execution time of 2.137 seconds.
- Validated the accuracy and speed of the proposed registration method.
Conclusions:
- The proposed method offers a rapid and accurate solution for non-rigid registration of cardiac blood vessels.
- Leveraging vessel characteristics in temporal CTA images enhances registration performance.
- This technique has significant potential for clinical applications in cardiovascular disease management.
Abstract:
In this paper, we propose an accurate and rapid non-rigid registration method between blood vessels in temporal 3D cardiac computed tomography angiography images of the same patient. This method provides auxiliary information that can be utilized in the diagnosis and treatment of coronary artery diseases. The proposed method consists of the following four steps. First, global registration is conducted through rigid registration between the 3D vessel centerlines obtained from temporal 3D cardiac CT angiography images. Second, point matching between the 3D vessel centerlines in the rigid registration results is performed, and the corresponding points are defined. Third, the outliers in the matched corresponding points are removed by using various information such as thickness and gradient of the vessels. Finally, non-rigid registration is conducted for hierarchical local transformation using an energy function. The experiment results show that the average registration error of the proposed method is 0.987 mm, and the average execution time is 2.137 s, indicating that the registration is accurate and rapid. The proposed method that enables rapid and accurate registration by using the information on blood vessel characteristics in temporal CTA images of the same patient.
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