A simple determination system for optimal angiographic viewing angles and QCA parameters

Abstract

In Quantitative Coronary Angiography (QCA), quantification parameters of the coronary arteries are determined using two dimensional (2-D) projections of the three dimensional (3-D) vessel structures. Unfortunately. the results of this quantification depend on the viewing angles corresponding with the used projections. To deal with this viewpoint dependency, multiple Computer systems have been developed to determine the optimal angiographic viewing angles, the angles corresponding with the viewpoints perpendicular to the vessel segments of interest. which are the best possible viewpoints to perform QCA. Most of the mentioned computer systems firstly build a 3-D reconstruction of the coronary arteries and determine the optimal angiographic viewing angles and the QCA parameters based on this reconstruction. We developed a system that determines the optimal viewpoints and QCA parameters without creating a reconstruction. Hence, the proposed system is very simple and fast. The variation and deviation on results obtained using images of static phantoms are much smaller the inaccuracies due to the movements of the arteries

Viewpoint planning for quantitative coronary angiography

“…If two or more images have been acquired, making a 3-D centerline reconstruction possible, exact methods -e.g. [2,5,7] -will outperform the proposed planning system. The proposed method is therefore of advantage if no 3-D information is available, or cannot be utilized due to a missing system-patient registration.…”

“…However, the 3-D reconstruction itself requires proper selection of input views or additional preinterventional imaging [13]. A highly related method was proposed by Chrisriaens et al [2]. The method does not require a 3-D reconstruction, instead they determine optimal viewpoints for the determination of QCA parameters based on two projection images acquired with a Bi-plane system.…”

An adaptive optimal viewing angle determination algorithm for TEVAR operation

“…Moreover, obtaining projection images at different angles increase the radiation dose. Considering the intake of X-ray and contrast agent, a series of studies used CTA data to obtain the optimal angle in the coronary artery [11][12][13][14][15][16]. The vessel vector was represented by the line between two adjacent points on the centerline of the vessel of interest.…”