title: 3D modeling of patient-specific geometries of portal veins using MR images.
abstract: In this note, we present an approach for developing patient-specific 3D models of portal veins to provide geometric boundary conditions for computational fluid dynamics (CFD) simulations of the blood flow inside portal veins. The study is based on MRI liver images of individual patients to which we apply image registration and segmentation techniques and inlet and outlet velocity profiles acquired using PC-MRI in the same imaging session. The portal vein and its connected veins are then extracted and visualized in 3D as surfaces. Image registration is performed to align shifted images between each breath-hold when the MRI images are acquired. The image segmentation method first labels each voxel in the 3D volume of interest by using a Bayesian probability approach, and then isolates the portal veins via active surfaces initialized inside the vessel. The method was tested with two healthy volunteers. In both cases, the main portal vein and its connected veins were successfully modeled and visualized.
authors.affiliation: Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. yan.yang@gatech.edu
authors.forename: Yan
authors.initials: Y
authors.lastname: Yang
authors.forename: Stephanie
authors.initials: S
authors.lastname: George
authors.forename: Diego R
authors.initials: DR
authors.lastname: Martin
authors.forename: Allen R
authors.initials: AR
authors.lastname: Tannenbaum
authors.forename: Don P
authors.initials: DP
authors.lastname: Giddens
mesh_terms: D001499:Bayes Theorem; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008099:Liver / Q000473:pathology*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation* / Q000379:methods*; D008953:Models, Anatomic; D015233:Models, Statistical; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D011169:Portal Vein / Q000473:pathology*; D011336:Probability; D012815:Signal Processing, Computer-Assisted