Feature Extraction and analysis methods for sequences of ultrasound images - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Image and Vision Computing Année : 1992

Feature Extraction and analysis methods for sequences of ultrasound images

Nicholas Ayache
  • Fonction : Auteur correspondant
  • PersonId : 833436
  • IdHAL : nicholas-ayache

Connectez-vous pour contacter l'auteur

Résumé

Our principal motivation is to study time previous termsequencesnext term of echocardiographic raw data to track specific anatomical structures. First, we show that the previous termimagenext term processing can make direct use of the audio signal data, avoiding loss of information and yielding optimal results. Second, we develop a strategy which takes a time previous termsequencenext term of raw data as input, computes edges, initiates a segmentation of a pre-selected anatomical structure, and uses a derformable model for its temporal tracking. This approach is validated in a real-time previous termsequencenext term of previous termultrasoundnext termprevious termimagesnext term of the heart to track the left auricle and the mitral valve.
Fichier principal
Vignette du fichier
HerlinIVC1992.pdf (1.96 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

inria-00615540 , version 1 (19-08-2011)

Identifiants

Citer

Isabelle Herlin, Nicholas Ayache. Feature Extraction and analysis methods for sequences of ultrasound images. Image and Vision Computing, 1992, 10 (10), pp.673--682. ⟨10.1016/0262-8856(92)90012-R⟩. ⟨inria-00615540⟩
84 Consultations
226 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More