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Cryosurgery planning using bubble packing in 3D

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  • Daigo Tanaka
  • Kenji Shimada

Abstract

As part of an ongoing project to develop automated tools for cryosurgery planning, the current study focuses on the development of a 3D bubble packing method. A proof-of-concept for the new method is demonstrated on five prostate models, reconstructed from ultrasound images. The new method is a modification of an established method in 2D. Ellipsoidal bubbles are packed in the volume of the prostate in the current study; such bubbles can be viewed as a first-order approximation of a frozen region around a single cryoprobe. When all cryoprobes are inserted to the same depth, optimum planning was found to occur at about 60% of the length of the prostate (measured from its apex), which leads to cooling of approximately 75% of the prostate volume below a specific temperature threshold of − 22°C. Bubble packing has the potential to dramatically reduce the run time for automated planning.

Suggested Citation

  • Daigo Tanaka & Kenji Shimada, 2008. "Cryosurgery planning using bubble packing in 3D," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 11(2), pages 113-121.
    • Handle: RePEc:taf:gcmbxx:v:11:y:2008:i:2:p:113-121
    DOI: 10.1080/10255840701336653
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    Cited by:

    1. Zaur Magalov & Avraham Shitzer & David Degani, 2016. "An efficient technique for estimating the two-dimensional temperature distributions around multiple cryo-surgical probes based on combining contributions of unit circles," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 19(13), pages 1462-1474, October.

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