Computer-generated three-dimensional animation of the mitral valve. Academic Article uri icon

Overview

abstract

  • OBJECTIVE: Three-dimensional motion-capture data offer insight into the mechanical differences of mitral valve function in pathologic states. Although this technique is precise, the resulting time-varying data sets can be both difficult to interpret and visualize. We used a new technique to transform these 3-dimensional ovine numeric analyses into an animated human model of the mitral apparatus that can be deformed into various pathologic states. METHODS: In vivo, high-speed, biplane cinefluoroscopic images of tagged ovine mitral apparatus were previously analyzed under normal and pathologic conditions. These studies produced serial 3-dimensional coordinates. By using commercial animation and custom software, animated 3-dimensional models were constructed of the mitral annulus, leaflets, and subvalvular apparatus. The motion data were overlaid onto a detailed model of the human heart, resulting in a dynamic reconstruction. RESULTS: Numeric motion-capture data were successfully converted into animated 3-dimensional models of the mitral valve. Structures of interest can be isolated by eliminating adjacent anatomy. The normal and pathophysiologic dynamics of the mitral valve complex can be viewed from any perspective. CONCLUSION: This technique provides easy and understandable visualization of the complex and time-varying motion of the mitral apparatus. This technology creates a valuable research and teaching tool for the conceptualization of mitral valve dysfunction and the principles of repair.

authors

  • Dayan, Joseph
  • Oliker, Aaron
  • Sharony, Ram
  • Baumann, F Gregory
  • Galloway, Aubrey
  • Colvin, Stephen B
  • Miller, D Craig
  • Grossi, Eugene A

publication date

  • March 1, 2004

Research

keywords

  • Computer Graphics
  • Imaging, Three-Dimensional
  • Mitral Valve

Identity

Scopus Document Identifier

  • 12144289450

Digital Object Identifier (DOI)

  • 10.1016/s0022-5223(03)00959-0

PubMed ID

  • 15001905

Additional Document Info

volume

  • 127

issue

  • 3