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Title:
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ESP: EUCLIDEAN SPHERES PACKING
IMPLEMENTATION FOR VOLUME DATA USING
SLICER3D |
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Author(s):
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Anod Alhazmi and Sudhanshu Semwal |
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ISBN:
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978-989-8533-91-3 |
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Editors:
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Katherine Blashki and Yingcai Xiao |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Euclidean Distance, Slicer3D, Sphere Packing, Gamma Knife, Stereotactic Radiosurgery |
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Type:
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Short Paper |
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First Page:
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416 |
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Last Page:
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420 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The Gamma Knife radiosurgery treatment involves geometrically mapping for covering the tumor area in three dimensions
so that the gamma rays can provide precise treatment to the affected area. The entire process has to be accurate in order to
prevent the exposure of the gamma rays to the neighboring healthy tissues.When the tumor shape is irregular, it is difficult
to ensure the coverage of the tumor region. We present, in this paper, a new approach to fit spheres in a bounded region
based on maximum distance. Our proposed method for automating the gamma knife surgery planning is by using a
geometrically-based Euclidean sphere packing optimization method. We implement our algorithm in Slicer3D using
Python libraries. Experiments show that our algorithm produces reasonable dense packing of different irregular shapes. |
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