3D Ultrasound Image Segmentation: Interactive Texture-Based Approaches

  • Olivier J
  • Paulhac L
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Abstract

The recent breakthroughs in 3D medical imaging technologies open new promising perspectives in the health domain. Significant efforts have being carried out and the precision of acquisition systems keeps on being improved. These devices are becoming widespread in the hospitals and the constantly increasing queues for this kind of exams prove the interest in these technologies. On the contrary, it seems that the evolution of 3D image analysis tools does not generate the same interest. It may be because, for a long time, people believed that considering 3D images as a succession of 2D frames was a sufficient and efficient way to make precise analysis. In our opinion, it is not the case and huge advancements can be obtained by considering 3D images with their entire complexity. This approach needs the development of specific models which can deal with multiple knowledge and are able to process huge information quantities. As a consequence, this chapter will present two original and efficient approaches of computer science for 3D image analysis and more particularly 3D ultrasound images.

Figures

  • Fig. 1. Example of a three-dimensional image of the skin obtained with 20 MHz ultrasound scanner (Atys Medical France)
  • Fig. 2. First order analysis limitations: images a) and b) possess the same first order statistics
  • Fig. 3. The three main texture types
  • Fig. 4. Multiresolution segmentation
  • Fig. 5. a) One ultrasound image, b) The same ultrasound image after a binarization, [c-d] Connected components extracted from different binary images
  • Fig. 6. Set of Solid textures used for psychological experiments
  • Table 2. 3D interesting textures in skin images
  • Fig. 7. Interface of the proposed software for segmentation of 3D ultrasound images.

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APA

Olivier, J., & Paulhac, L. (2011). 3D Ultrasound Image Segmentation: Interactive Texture-Based Approaches. In Medical Imaging. InTech. https://doi.org/10.5772/35934

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