PT Unknown
AU Francesco Ciompi
   Oriol Pujol
   E Fernandez-Nofrerias
   J. Mauri
   Petia Radeva
TI Conditional Random Fields for image segmentation in Intravascular Ultrasound
BT Medical Image Computing in Catalunya: Graduate Student Workshop
PY 2010
BP 13–14
AB We present a Conditional Random Fields based approach for segmenting Intravascular Ultrasond (IVUS) images. The presented method uses a contextual discriminative graphical model to deal with the presence of distorsions and artifacts in IVUS images, that turns the segmentation of interesting regions into a difficult task. An accurate lumen segmentation on IVUS longitudinal images is achieved.
ER