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3D US Imaging System for the Guidance of Uterine Adenoma and Uterine Bleeding RF Ablation

  • Mingyue Ding
  • Xiaoan Luo
  • Chao Cai
  • Chengping Zhou
  • Aaron Fenster
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4091)

Abstract

In this paper, a 3D US imaging system for the guidance of RF ablation of uterine adenoma and uterine bleeding was developed to increase the operation success by accurate localization of the tumor position during treatment. A rotational scanning using an abdominal probe was employed. To reduce the distortion produced when the rotational axis is not collinear with the central beam of the probe, a new 3D reconstruction algorithm using 360° scanning is derived. Then, a fast 3D needle segmentation algorithm is used to find the electrode direction and determine the tip of electrode. Experiments with a water phantom demonstrated the feasibility of our 3D US image based guidance system.

Keywords

Stepper Motor Uterine Bleeding Central Beam Frame Grabber Canada Research Chair 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Yao, C., Wang, W., Tang, X., Xing, Y., Liu, C.: Clinical evaluation on RF ablation of Uterine Adenoma and Uterine Bleeding under the guidance of color Doppler ultrasound. In: 1st International Congress of Medical Imaging and Interventional Medicine, Beijing, China, June 17-21Google Scholar
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    Ding, M., Cardinal, H.N., Fenster, A.: Automatic Needle Segmentation in 3D Ultrasound Images Using Two Orthogonal 2D Image Projections. Medical Physics 30(2), 222–234 (2003)CrossRefGoogle Scholar
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    Tong, S., Downey, D.B., Cardinal, H.N., Fenster, A.: A Three-Dimensional Ultrasound Prostate Imaging System. Ultrasound in Medicine and Biology 22(6), 735–746 (1996)CrossRefGoogle Scholar
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    Fenster, A., Downey, D.B., Cardinal, H.N.: Three-dimensional ultrasound imaging. Physics in Medicine and Biology 46, 67–99 (2001)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mingyue Ding
    • 1
    • 2
  • Xiaoan Luo
    • 1
  • Chao Cai
    • 1
  • Chengping Zhou
    • 1
  • Aaron Fenster
    • 2
  1. 1.Institute for Pattern Recognition and Artificial Intelligence, “Image Processing and Intelligent Control“ Key Laboratory of Education MinistryHuazhong University of Science and TechnologyWuhanChina
  2. 2.Imaging Research LaboratoriesRobarts Research InstituteLondonCanada

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