Feature Extraction and analysis methods for sequences of ultrasound images

Isabelle Herlin 1, * Nicholas Ayache *
* Auteur correspondant
Abstract : 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.
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https://hal.inria.fr/inria-00615540
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Isabelle Herlin, Nicholas Ayache. Feature Extraction and analysis methods for sequences of ultrasound images. Image and Vision Computing, Elsevier, 1992, 10 (10), pp.673--682. 〈10.1016/0262-8856(92)90012-R〉. 〈inria-00615540〉

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