TY - GEN
T1 - Computational hemodynamics in intracranial vessels reconstructed from biplane angiograms
AU - Scalzo, Fabien
AU - Hao, Qing
AU - Walczak, Alan M.
AU - Hu, Xiao
AU - Hoi, Yiemeng
AU - Hoffmann, Kenneth R.
AU - Liebeskind, David S.
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2010.
PY - 2010
Y1 - 2010
N2 - Recent works in neurology have explored ways to obtain a better understanding of blood flow circulation in the brain with the ultimate goal of improving the treatment of cerebrovascular diseases, such as strokes, stenosis, and aneurysms. In this paper, we propose a framework to reconstruct three-dimensional (3D) models of intracerebral vessels from biplane angiograms. The reconstructed vessel geometries are then used to perform simulations of computational fluid dynamic (CFD). A key component of our framework is to perform such a reconstruction by incorporating user interaction to identify the centerline of the vessels in each view. Then the vessel profile is estimated automatically at each point along the centerlines, and an optimization procedure refines the 3D model using epipolar constraints and back-projection in the original angiograms. Finally, the 3D model of the vessels is then used as the domain where the wall shear stress (WSS), and velocity vectors are estimated from a blood flow model that follows Navier-Stokes equations as an incompressible Newtonian fluid. Visualization of hemodynamic parameters are illustrated on two stroke patients.
AB - Recent works in neurology have explored ways to obtain a better understanding of blood flow circulation in the brain with the ultimate goal of improving the treatment of cerebrovascular diseases, such as strokes, stenosis, and aneurysms. In this paper, we propose a framework to reconstruct three-dimensional (3D) models of intracerebral vessels from biplane angiograms. The reconstructed vessel geometries are then used to perform simulations of computational fluid dynamic (CFD). A key component of our framework is to perform such a reconstruction by incorporating user interaction to identify the centerline of the vessels in each view. Then the vessel profile is estimated automatically at each point along the centerlines, and an optimization procedure refines the 3D model using epipolar constraints and back-projection in the original angiograms. Finally, the 3D model of the vessels is then used as the domain where the wall shear stress (WSS), and velocity vectors are estimated from a blood flow model that follows Navier-Stokes equations as an incompressible Newtonian fluid. Visualization of hemodynamic parameters are illustrated on two stroke patients.
UR - https://www.scopus.com/pages/publications/78650780145
U2 - 10.1007/978-3-642-17277-9_37
DO - 10.1007/978-3-642-17277-9_37
M3 - Conference contribution
AN - SCOPUS:78650780145
SN - 9783642172762
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 359
EP - 367
BT - Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
A2 - Bebis, George
A2 - Boyle, Richard
A2 - Parvin, Bahram
A2 - Koracin, Darko
A2 - Chung, Ronald
A2 - Hammound, Riad
A2 - Hussain, Muhammad
A2 - Kar-Han, Tan
A2 - Crawfis, Roger
A2 - Thalmann, Daniel
A2 - Kao, David
A2 - Avila, Lisa
PB - Springer Verlag
T2 - 6th International Symposium on Visual Computing, ISVC 2010
Y2 - 29 November 2010 through 1 December 2010
ER -