Contour segmentation of the intima, media, and adventitia layers in intracoronary OCT images: application to fully automatic detection of healthy wall regions

Guillaume Zahnd,Ayla Hoogendoorn,Nicolas Combaret,Antonios Karanasos,Emilie Péry,Laurent Sarry,Pascal Motreff,Wiro J. Niessen,Evelyn Regar,Gijs van Soest,Frank Gijsen,Theo van Walsum

Contour segmentation of the intima, media, and adventitia layers in intracoronary OCT images: application to fully automatic detection of healthy wall regions

2017

Guillaume Zahnd
Ayla Hoogendoorn
Nicolas Combaret
Antonios Karanasos
Emilie Péry
Laurent Sarry
Pascal Motreff
Wiro J. Niessen
Evelyn Regar
Gijs van Soest
Frank Gijsen
Theo van Walsum

Purpose Quantitative and automatic analysis of intracoronary optical coherence tomography images is useful and time-saving to assess cardiovascular risk in the clinical arena.

Keywords:

Computer vision
Radiology
Adventitia
Artificial intelligence
Segmentation
Optical coherence tomography
Medicine
front propagation
Automatic summarization
contour segmentation
Sørensen–Dice coefficient
fully automatic

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