Reproducibility study of 3D geometrical reconstruction of the human carotid bifurcation from magnetic resonance images

The combined magnetic resonance imaging (MRI) and computational fluid dynamics (CFD) modeling approach is playing an increasingly important role in advancing our understanding of the relationship between hemodynamics and arterial disease. Nevertheless, such a modeling approach involves a number of uncertainties associated with various stages of the process. The present study is concerned with the reproducibility of geometry reconstruction, one of the most crucial steps in the modeling process. The reproducibility test was conducted on the right carotid bifurcation of eight normal human subjects, each of whom were scanned twice using the same MR protocol with an in‐plane resolution of 0.625 mm. Models constructed from different scans of the same subject were compared and assessed using four quantitative measures: centerline distance, cross‐sectional area, contour shape factors, and mean radius difference. The difference in the maximum carotid bulb area between the two scans was found to be <8.1% for all subjects. Shape factors (measuring the dissimilarity between two contours) of <10% were achieved in most of the common carotid arteries (CCAs) and internal carotid arteries (ICAs). The mean radius difference between the two scans was <0.4 mm for all subjects. Among the three vessels, the geometry of CCA was well reproduced by the reconstruction procedure in most of the cases, while the external carotid artery (ECA) showed the worst reproducibility. The impact of geometrical differences on CFD‐predicted flow patterns and wall shear stress (WSS) will be investigated and discussed in a separate paper. Magn Reson Med 49:665–674, 2003. © 2003 Wiley‐Liss, Inc.

[1]  M. W. Collins,et al.  Generation Of Structure Of The Aortic BifurcationFrom Magnetic Resonance Angiogram , 1970 .

[2]  X Y Xu,et al.  Magnetic resonance image processing and structured grid generation of a human abdominal bifurcation. , 1998, Computer methods and programs in biomedicine.

[3]  B. Rutt,et al.  Hemodynamics of human carotid artery bifurcations: computational studies with models reconstructed from magnetic resonance imaging of normal subjects. , 1998, Journal of vascular surgery.

[4]  D A Steinman,et al.  On the nature and reduction of plaque‐mimicking flow artifacts in black blood MRI of the carotid bifurcation , 1998, Magnetic resonance in medicine.

[5]  M H Friedman,et al.  Variability of the planarity of the human aortic bifurcation. , 1998, Medical engineering & physics.

[6]  R.W. Dutton,et al.  Improving geometric model construction for blood flow modeling , 1999, IEEE Engineering in Medicine and Biology Magazine.

[7]  Q. Long,et al.  Reconstruction of blood flow patterns in human arteries , 1999, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[8]  A. Hughes,et al.  Reconstruction of blood flow patterns in a human carotid bifurcation: A combined CFD and MRI study , 2000, Journal of magnetic resonance imaging : JMRI.

[9]  A D Hughes,et al.  Blood flow and vessel mechanics in a physiologically realistic model of a human carotid arterial bifurcation. , 2000, Journal of biomechanics.

[10]  Q. Long,et al.  Numerical study of blood flow in an anatomically realistic aorto‐iliac bifurcation generated from MRI data , 2000, Magnetic resonance in medicine.

[11]  D A Steinman,et al.  Effect of black blood MR image quality on vessel wall segmentation , 2001, Magnetic resonance in medicine.

[12]  B. Rutt,et al.  Reconstruction of carotid bifurcation hemodynamics and wall thickness using computational fluid dynamics and MRI , 2002, Magnetic resonance in medicine.

[13]  I. Marshall,et al.  Quantitative comparison of CFD predicted and MRI measured velocity fields in a carotid bifurcation phantom. , 2002, Biorheology.

[14]  C. R. Ethier,et al.  Accuracy of Computational Hemodynamics in Complex Arterial Geometries Reconstructed from Magnetic Resonance Imaging , 2004, Annals of Biomedical Engineering.