Detection of the intima and media layer thickness of ultrasound common carotid artery image using efficient active contour segmentation technique.

An active contour segmentation technique for extracting the intima-media layer of the common carotid artery (CCA) ultrasound images employing semiautomatic region of interest identification and speckle reduction techniques is presented in this paper. An attempt has been made to test the ultrasound i...

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Publicado en:Medical & Biological Engineering & Computing Vol. 49; no. 11; pp. 1299 - 1311
Autores principales: Santhiyakumari N, Rajendran P, Madheswaran M, Suresh S, Santhiyakumari, N, Rajendran, P, Madheswaran, M, Suresh, S
Formato: Journal Article
Publicado: Springer Nature Nov2011
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2011
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      pub: Springer Nature
      place: New York, New York
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          Santhiyakumari N
          Rajendran P
          Madheswaran M
          Suresh S
          Santhiyakumari, N
          Rajendran, P
          Madheswaran, M
          Suresh, S
        affil: Department of ECE, K. S. Rangasamy College of Technology, Tiruchengode 637209, India
      sug:
        subj:
          Carotid Artery Diseases Ultrasonography
          Carotid Arteries Ultrasonography
          Adult
          Aged
          Carotid Artery Diseases Pathology
          Carotid Arteries Pathology
          Female
          Hypertension Pathology
          Hypertension Ultrasonography
          Image Interpretation, Computer Assisted Methods
          Male
          Middle Age
          Blood Vessels Pathology
          Blood Vessels Ultrasonography
          Muscle, Smooth Pathology
          Muscle, Smooth Ultrasonography
          Young Adult
          Adult: 19-44 years
          Aged: 65+ years
          Middle Aged: 45-64 years
          Female
          Male
      ab: An active contour segmentation technique for extracting the intima-media layer of the common carotid artery (CCA) ultrasound images employing semiautomatic region of interest identification and speckle reduction techniques is presented in this paper. An attempt has been made to test the ultrasound images of the carotid artery of different subjects with this contour segmentation based on improved dynamic programming method. It is found that the preprocessing of ultrasound images of the CCA with region identification and despeckleing followed by active contour segmentation algorithm can be successfully used in evaluating the intima-media thickness (IMT) of the normal and abnormal subjects. It is also estimated that the segmentation used in this paper results an intermethod error of 0.09 mm and a coefficient of variation of 18.9%, for the despeckled images. The magnitudes of the IMT values have been used to explore the rate of prediction of blockage existing in the cerebrovascular and cardiovascular pathologies and also hypertension and atherosclerosis.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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