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Multi-dimensional Visualization and Analysis of Cardiac MR Images During Long-Term Follow-Up

  • Min-Jeong Kim
  • Soo-Mi Choi
  • Yoo-Joo Choi
  • Myoung-Hee Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4142)

Abstract

Follow-up studies of human organs with certain abnormalities are necessary to monitor the effect of therapy and the extent of recovery. But, current approaches are limited to subjective estimation by physicians. In this paper, we present a comparative visualization and objective analysis system for long-term follow-up studies using cardiac MR images. This system uses dynamic cardiac models in order to effectively analyze huge cardiac datasets acquired at different times and applies the data hierarchy that is proper for effectively managing the multi-dimensional cardiac images, dynamic models and analyzed parameters for each patient. The proposed system provides various quantitative analysis functions for global and local diagnostic parameters of ventricles based on the physical properties of the heart.

Keywords

Deformable Model Myocardial Mass Left Ventricle Wall Medical Image Analysis Ventricular Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Min-Jeong Kim
    • 1
  • Soo-Mi Choi
    • 2
  • Yoo-Joo Choi
    • 1
  • Myoung-Hee Kim
    • 1
    • 3
  1. 1.Department of Computer Science and EngineeringEwha Womans UniversitySeoulKorea
  2. 2.School of Computer EngineeringSejong UniversitySeoulKorea
  3. 3.Center for Computer Graphics and Virtual RealityEwha Womans UniversitySeoulKorea

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