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Visualization and evaluation of prostate needle biopsy

  • Jianchao Zeng
  • Charles Kaplan
  • John Bauer
  • Isabell Sesterhenn
  • Judd Moul
  • Seong K. Mun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1496)

Abstract

Three-dimensional (3-D) computer visualization is playing an increasingly important role in mcdical imaging applications. Visualization is helpful and important because it provides more flexibility for medical education, training and pre-operative planning, and it offers a better method to evaluate schemes currently used in the clinical environment for their improvements and optimizations. We have developed a 3-D visualization system for prostate needle biopsy simulation. Surface models of the prostate are reconstructed from the digitized pathological tissue images of the real prostate specimens. The needle biopsy of the prostate can be visualized and simulated automatically by the system or interactively by a urologist with a 6 degree-of-freedom (DOF) tracking device. This system has been used to validate the effectiveness of the automatic simulation for the evaluation of prostate needle biopsy. It has also been used to compare the performance of the existing biopsy schemes. In this paper, further experiments are conducted using this visualization system with a total of 107 reconstructed 3-D prostate surface models to evaluate the correlation between tumor volume and positive needle core volume. Preliminary experimental results are also given.

Keywords

Tumor Volume Prostate Specific Antigen Prostate Gland Visualization System Preliminary Experimental Result 
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.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Jianchao Zeng
    • 1
  • Charles Kaplan
    • 2
    • 1
  • John Bauer
    • 3
    • 1
  • Isabell Sesterhenn
    • 4
    • 1
  • Judd Moul
    • 5
    • 1
  • Seong K. Mun
    • 1
  1. 1.Imaging Science and Information Systems Center Department of RadiologyGeorgetown University Medical CenterWashington, DC
  2. 2.Urology DivisionGeorgetown University Medical CenterWashington, DC
  3. 3.Department of UrologyWalter Reed Army Medical CenterWashington, DC
  4. 4.Department of Genitourinary PathologyArmed Forces Institute of PathologyWashington, DC
  5. 5.The Center for Prostate Disease ResearchUniformed Services University of the Health Sciences

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