Computer Vision Beyond the Visible Spectrum

Part of the series Advances in Pattern Recognition pp 241-269

Visualization and Segmentation Techniques in 3D Ultrasound Images

  • Aaron FensterAffiliated withRobarts Research Institute
  • , Mingyue DingAffiliated withRobarts Research Institute
  • , Ning HuAffiliated withRobarts Research Institute
  • , Hanif M. LadakAffiliated withRobarts Research Institute
  • , Guokuan LiAffiliated withRobarts Research Institute
  • , Neale CardinalAffiliated withRobarts Research Institute
  • , Dónal B. DowneyAffiliated withRobarts Research Institute

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Although ultrasonography is an important cost-effective imaging modality, technical improvements are needed before its full potential is realized for accurate and quantitative monitoring of disease progression or regression. 2D viewing of 3D anatomy, using conventional ultrasonography limits our ability to quantify and visualize pathology and is partly responsible for the reported variability in diagnosis and monitoring of disease progression. Efforts of investigators have focused on overcoming these deficiencies by developing 3D ultrasound imaging techniques using existing conventional ultrasound systems, reconstructing the information into 3D images, and then allowing interactive viewing of the 3D images on inexpensive desktop computers. In addition, the availability of 3D ultrasound images has allowed the development of automated and semi-automated segmentation techniques to quantify organ and pathology volume for monitoring of disease. In this chapter, we introduce the basic principles of 3D ultrasound imaging as well as its visualization techniques. Then, we describe the use of 3D ultrasound in interventional procedures and discuss applications of 3D segmentation techniques of the prostates, needles, and seeds used in prostate brachytherapy.