Automated contour detection for high-frequency intravascular ultrasound imaging: a technique with blood noise reduction for edge enhancement.

@article{Takagi2000AutomatedCD,
  title={Automated contour detection for high-frequency intravascular ultrasound imaging: a technique with blood noise reduction for edge enhancement.},
  author={Atsushi Takagi and Kiyoshi Hibi and Xiaowei Zhang and Tat Joo Teo and Heidi N Bonneau and Paul G. Yock and Peter J. Fitzgerald},
  journal={Ultrasound in medicine & biology},
  year={2000},
  volume={26 6},
  pages={1033-41}
}
Automated edge detection may standardize measurements among observers, providing for rapid assessment of intravascular ultrasound (IVUS) images. However, with high frequency images, enhanced blood signals make it difficult to define and trace the lumen borders. Accordingly, we evaluated a fully automated contour analysis facilitated with a blood noise reduction algorithm (BNR) for 40-MHz IVUS images in human coronary arteries of 27 patients. This algorithm is based on the principle that blood… CONTINUE READING

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