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Optimizing Gamma Knife Radiosurgery through Mathematical Morphology

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These beams intersect in an approximately spherical shape. ... The 'edge' of each shot is called the 50% isodose line (50% IDL) ... – PowerPoint PPT presentation

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Title: Optimizing Gamma Knife Radiosurgery through Mathematical Morphology


1
Optimizing Gamma Knife Radiosurgery through
Mathematical Morphology
  • Jeffrey Overbey
  • Angela Kolve
  • Nathan Hirtz

2
What is Gamma Knife Radiosurgery?
  • Used to treat brain tumors.
  • Delivers a high dose of ionizing radiation from
    201 cobalt-60 beams.
  • These beams intersect in an approximately
    spherical shape.
  • Each dose of radiation is called a shot.

3
What is Gamma Knife Radiosurgery?
  • Beams emanate from collimator helmet.
  • 4 interchangeable outer helmets.
  • Beam sizes are 4, 8, 14, or 18mm in diameter.
  • The target point, or center of the shot, is
    called the isocenter.

http//www.mc.uky.edu/gammaknife/images/gdraw.jpg
4
What is Gamma Knife Radiosurgery?
  • The edge of each shot is called the 50 isodose
    line (50 IDL).
  • Beyond the 50 IDL, the radiation level is less
    than 50 of that at the isocenter, and is not
    considered damaging.

http//w3.uokhsc.edu/neurosurgery/gamma/gamkni2.jp
g
5
What is Gamma Knife Radiosurgery?
http//www.ucsf.edu/gammakf/lgk_cutout2.jpg
http//www.erheadquarters.com/episodes/8/images/a
llinhead2.jpg
6
The Problem
  • Given a volume, find the most optimal method for
    arranging spheres of 4, 8, 14, and 18mm in
    diameter given the following conditions
  • At least 90 of the volume is occupied.
  • No spheres overlap.
  • No spheres protrude outside the target volume.

7
Mathematical Morphologyand Skeletonization
  • Morphology is a field of study with applications
    in computer vision, handwriting recognition, and
    image processing.
  • Skeletonization is a morphological process that
    reduces an image to its most basic linear
    structure.

8
Skeletonization
http//www.cee.hw.ac.uk/hipr/html/skeleton.html
9
Skeletonization
http//www.esiee.fr/coupriem/Sdi/resources/saha3_
SC.gif
10
Our Algorithms
11
The Formula and Its Graph
0.7717657102 0.04046790807x 0.2693164541y
z
1 0.1580097209 ln x 9.032235572 ln y
x number of shotsy percentage treatedz
preference value
12
Analysis of the Model
  • Limitations
  • The shapes of the shots are not perfectly
    spherical.
  • The formula is based on a certain set of
    preferences.

13
Analysis of the Model
  • Benefits
  • At least 90 of the target volume is covered.
  • Largely confines untreated tissue to a small
    area.
  • Overlapping areas of strong radiation from 2 or
    more shots is avoided.
  • Represents a compromise between minimum number of
    shots and area of target volume covered.
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