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3D segmentation and texture analysis of the carotid arteries

3D segmentation and texture analysis of the carotid arteries

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In this chapter, we review 3D ultrasound-based methods for segmentation of carotid plaques and their use in quantifying plaque composition using image texture metrics. Specifically, we review algorithms used to segment the media-adventitia and lumen-intima of CCA, internal carotid artery (ICA), and external carotid artery (ECA). We also review methods, which have used these segmented boundaries to provide information on plaque composition using image texture metrics.

Chapter Contents:

  • 22.1 Introduction
  • 22.2 3D carotid ultrasound imaging
  • 22.2.1 Advantages of 3D US
  • 22.2.2 Mechanical systems for 3D imaging of the carotid arteries
  • 22.2.3 Free-hand 3D US imaging
  • 22.3 Quantitative analysis of 3D carotid US images
  • 22.3.1 Texture analysis
  • 22.3.1.1 Texture feature calculation
  • 22.3.1.2 Feature selection
  • 22.3.1.3 Classification
  • 22.3.1.4 Results
  • 22.3.2 Semiautomated segmentation algorithms of 3D US carotid images
  • 22.3.3 2D and 3D methods for segmenting LIB from 3D US images
  • 22.3.4 2D methods that segment both the LIB and MAB from 3D US images
  • 22.3.4.1 MAB segmentation
  • 22.3.4.2 LIB segmentation
  • 22.3.4.3 3D methods that segment both LIB and MAB from 3D US images
  • 22.3.5 Segmentation algorithms of carotid plaque from 3D US images
  • 22.3.5.1 Manual segmentation of plaque from 3D US images
  • 22.3.5.2 Semiautomated segmentation of plaque from 3D US images
  • 22.4 Local quantification of carotid atherosclerosis based on 3D US images
  • 22.4.1 3D vessel-wall-plus-plaque thickness (VWT) map
  • 22.4.2 2D Carotid template
  • 22.4.2.1 Arc-length scaling (AL) approach
  • 22.5 Optimization of correspondence by minimizing the description length
  • 22.5.1 Role of DL minimization to improve reproducibility of 3D US VWT measurements
  • 22.5.2 Novel biomarker based on 2D carotid template
  • 22.6 Future perspectives
  • References

Inspec keywords: blood vessels; image segmentation; diseases; biomedical ultrasonics; image texture; medical image processing; reviews

Other keywords: lumen-intima; image texture metrics; texture analysis; external carotid artery; internal carotid artery; media-adventitia; plaque composition; common carotid artery; 3D segmentation; 3D ultrasound-based methods; review; carotid plaques

Subjects: Sonic and ultrasonic applications; Sonic and ultrasonic radiation (medical uses); Computer vision and image processing techniques; Biology and medical computing; Reviews and tutorial papers; resource letters; Sonic and ultrasonic radiation (biomedical imaging/measurement); Patient diagnostic methods and instrumentation; Optical, image and video signal processing

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