Visualization of human coronary arteries with quantification results from 3-D and 4-D computational hemodynamics based upon virtual endoscopy Article

cited authors

  • Wahle, A; Mitchell, SC; Ramaswamy, SD; Chandran, KB; Sonka, M

fiu authors

abstract

  • Intravascular ultrasound and X-ray angiography are commonly used modalities to assess coronary atherosclerosis. To utilize the full potential of both imaging methods, 3-D and 4-D models of diseased vessel segments are reconstructed by data fusion. These models accurately depict plaque accumulations and stenoses. Especially, they allow geometrically correct quantifications of flow and shear stresses using computational fluid dynamics. This paper outlines the reconstruction of the 3-D model, its extension into 4-D by assigning the image data along the heart cycle, the application of steady-flow computational hemodynamics to obtain local shear stress parameters, and the visualization of the results using platform-independent virtual reality modeling and scripting languages. © 2001 Elsevier Science B.V.

publication date

  • January 1, 2001

Digital Object Identifier (DOI)

start page

  • 923

end page

  • 929

volume

  • 1230

issue

  • C