Clinical validation of an algorithm for rapid and accurate automated segmentation of intracoronary optical coherence tomography images.

@article{Chatzizisis2014ClinicalVO,
  title={Clinical validation of an algorithm for rapid and accurate automated segmentation of intracoronary optical coherence tomography images.},
  author={Yiannis S. Chatzizisis and Vassilis G. Koutkias and Konstantinos Toutouzas and Andreas Giannopoulos and Ioanna Chouvarda and Maria Riga and Antonios P. Antoniadis and Grigorios Cheimariotis and Charalampos Doulaverakis and Ioannis Tsampoulatidis and Konstantina P Bouki and Ioannis Kompatsiaris and Christodoulos Stefanadis and Nicos Maglaveras and George D. Giannoglou},
  journal={International journal of cardiology},
  year={2014},
  volume={172 3},
  pages={568-80}
}
OBJECTIVES The analysis of intracoronary optical coherence tomography (OCT) images is based on manual identification of the lumen contours and relevant structures. However, manual image segmentation is a cumbersome and time-consuming process, subject to significant intra- and inter-observer variability. This study aims to present and validate a fully-automated method for segmentation of intracoronary OCT images. METHODS We studied 20 coronary arteries (mean length=39.7±10.0 mm) from 20… CONTINUE READING
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