A Preprocess Method of External Disturbance Suppression for Carotid Wall Motion Estimation Using Local Phase and Orientation of B-Mode Ultrasound Sequences.

Estimating the motions of the common carotid artery wall plays a very important role in early diagnosis of the carotid atherosclerotic disease. However, the disturbances caused by either the instability of the probe operator or the breathing of subjects degrade the estimation accuracy of arterial wa...

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Publicado en:BioMed Research International pp. 1 - 16
Autores principales: Zhang, Qinghui, Li, Junqiu, Qiang, Zhenping, He, Libo
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell 11/21/19
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 11/21/19
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2019/6547982
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        atl: A Preprocess Method of External Disturbance Suppression for Carotid Wall Motion Estimation Using Local Phase and Orientation of B-Mode Ultrasound Sequences.
      aug:
        au:
          Zhang, Qinghui
          Li, Junqiu
          Qiang, Zhenping
          He, Libo
        affil: College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China
      sug:
        subj:
          Algorithms
          Ultrasonography Methods
          Carotid Arteries Ultrasonography
          Blood Circulation Evaluation
          Early Diagnosis
          Carotid Artery Diseases Diagnosis
          Human
          Carotid Artery Diseases Pathology
      ab: Estimating the motions of the common carotid artery wall plays a very important role in early diagnosis of the carotid atherosclerotic disease. However, the disturbances caused by either the instability of the probe operator or the breathing of subjects degrade the estimation accuracy of arterial wall motion when performing speckle tracking on the B-mode ultrasound images. In this paper, we propose a global registration method to suppress external disturbances before motion estimation. The local vector images, transformed from B-mode images, were used for registration. To take advantage of both the structural information from the local phase and the geometric information from the local orientation, we proposed a confidence coefficient to combine them two. Furthermore, we altered the speckle reducing anisotropic diffusion filter to improve the performance of disturbance suppression. We compared this method with schemes of extracting wall displacement directly from B-mode or phase images. The results show that this scheme can effectively suppress the disturbances and significantly improve the estimation accuracy.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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