TY  - EJOU
AU  - Altalhi, Maryam 
AU  - Rehman, Sami Ur 
AU  - Alam, Fakhre 
AU  - Alarood, Ala Abdulsalam 
AU  - Rehman, Amin ur 
AU  - Uddin, M. Irfan 

TI  - Computation of Aortic Geometry Using MR and CT 3D Images
T2  - Intelligent Automation \& Soft Computing

PY  - 2022
VL  - 31
IS  - 2
SN  - 2326-005X

AB  - The proper computation of geometric parameters of the aorta and coronary arteries are very important for surgery planning, disease diagnoses, and age-related changes observation in the vessels. The accurate knowledge about the geometry of aorta and coronary arteries is required for the proper investigation of heart related diseases. The geometry of aorta and coronary arteries includes the diameter of the ascending and descending aorta and coronary arteries, length of the coronary arteries, branching angles of the coronary arteries and branching points. These geometric parameters from arteries can be computed from the 3D image data. In this paper, we propose an approach for calculating geometric parameters such as length, diameter of the aorta and angles of the coronary arteries. The proposed method automatically computes the geometry of aorta and left and right coronary arteries. The geometry is computed by logically dividing the aorta, calculating the centerline and extracting the features of aorta and coronary arteries. The method has been tested on different 3D CT/MR image data. The results of the proposed method are tested on different data sets to check its accuracy. The results show more accuracy and less computation time on noisy image data as compared to the already developed method. The obtained results are visualized and compared using visualization toolkit (VTK).
KW  - Aorta; coronary artery; catheter; angiography

DO  - 10.32604/iasc.2022.020607