Purpose: A novel method for the integration of cardiac CT in X-ray fluoroscopy procedures, enabling better decision making in the planning and guidance of cardiovascular interventional therapies. Methods and Materials: Our method offers the possibility of determining the C-arm incidence with the least foreshortening for a selected segment of the coronary vessels, segmented in a pre-operative cardiac CT dataset. In order to assist in stent length selection, the length of a vascular lesion can be measured in 3D along the centerline of the curved vessel. During the intervention the stored C-arm incidence can be recalled, and the C-arm can be automatically steered to the appropriate angles. Furthermore our method allows rendering of a curved MPR and a 3D volume of the coronary arteries, both following in real-time the direction of the viewing incidence of the C-arm. Based on this automatically registered reference image of the CT data, it is possible to steer the C-arm, without using additional contrast medium or X-ray radiation. Results: The proposed method has been applied in the treatment of 20 patients. The 3D visualization of the coronary arteries, segmented in the CT dataset, augment the sense of orientation and enhance navigation, especially when no contrast medium is visible in the fluoroscopy images. Conclusion: The integration of cardiac CT data helps in improving planning and guidance of cardiovascular interventional therapies. The optimal system angles from true 3D datasets enable better stent length selection and in addition can lead to a reduction in the use of contrast medium.
|Title of host publication||Proceedings of the European congres of Radiology (ECR 2008), 7-11 March 2008, Vienna, Austria|
|Place of Publication||Austria, Vienna|
|Publisher||European Society of Radiology (ESR)|
|Publication status||Published - 2008|