Computer-Aided Intravascular Ultrasound Diagnostics

  • Li Wenguang
  • Carolien J. Bouma
  • Elma J. Gussenhoven
  • Bart M. Haar ter Romeny
  • Gerard Pasterkamp
  • Hans Rijsterborgh
  • Herman Pieterman
Part of the Developments in Cardiovascular Medicine book series (DICM, volume 143)


This paper describes the computerized methods for image enhancement, segmentation and three-dimensional (3-D) reconstruction of intravascular ultrasound images. To improve the visibility of the arterial wall when masked by blood scattering, a temporal averaging method was used during off-line analysis. The results showed that the reproducibility of the lumen area measurement was improved 2.4 times with the averaging method (intra-observer variation coefficient: single-frame: 8.8% vs averaged image: 3.6%). To reconstruct a 3-D image from a series of echographic slices, an automatic image segmentation technique based on temporal subtraction was developed. This method applies histogram processing and low-pass filtering techniques for data preprocessing, and dedicated techniques for data postprocessing. The feasibility of this method is demonstrated by 3-D reconstruction derived from a phantom object.


Intravascular Ultrasound Arterial Lumen High Frequency Ultrasound Temporal Subtraction Intravascular Ultrasound Image 
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 Science+Business Media Dordrecht 1993

Authors and Affiliations

  • Li Wenguang
  • Carolien J. Bouma
  • Elma J. Gussenhoven
  • Bart M. Haar ter Romeny
  • Gerard Pasterkamp
  • Hans Rijsterborgh
  • Herman Pieterman

There are no affiliations available

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