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Physical optimization criteria Target objective function

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... ad 0.01 0.1 1 0.001 a/b bd2 Surviving fracions of cells 12 16 4 Radiobiology gEUD gEUD is based on the concept of a generalized mean dose, ... – PowerPoint PPT presentation

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Title: Physical optimization criteria Target objective function


1
Physical optimization criteriaTarget objective
function
The target sub-function includes the target
prescription dose and dose-uniformity limits
  • Nt number of voxels in target
  • Di dose to voxel i
  • Dpresc prescribed dose to target
  • Dmin minimum dose to voxel i
  • Dmax maximum dose to voxel i

ct,min penalty associated with underdosage
ct,max penalty associated with
overdosage Heaviside function
2
Physical optimization criteriaOAR objective
function
The OAR sub-functions include maximum dose and
DVH-limits
  • NO number of voxels in OAR
  • Dmax maximum dose to voxel i
  • Ddv maximum dose to voxel i, i?Ndv
  • cO,max penalty weight for overdosage
  • cO,dv penalty weight for violation of
    dose-volume constraint
  • Ndv number of voxels in OAR whose dose
    must be below the
  • DVH constraint

3
RadiobiologyLinear-quadratic (LQ) model
  • The cell survival curve describes the
    relationship between the radiation dose and the
    proportion of cells that survives
  • The surviving fraction of target cells SF(d),
    after a single radiation dose d can be fitted to
    experimental data using an exponential function
    with the parameters a and b.
  • LQ model used to compare the biological effect
    of different treatment fractionation schedules

Radiation dose (Gy)
4
Radiobiology gEUD
  • gEUD is based on the concept of a generalized
    mean dose, and is a means to reduce a complex 3D
    dose distribution to a single, biologically
    representative dose value
  • The a parameter is tissue specific and describes
    the volume effect of the tissue under
    consideration

D total dose a tissue specific volume
parameter N number of voxels in tissue Di
dose in voxel i
gEUD is not a sigmoid function and does not
predict a response, however, it is a convex
function
- a lt 0 minimum dose (tumour) - a 1 mean dose
(parallel tissue) - a ? 8 maximum dose (serial
tissue)
5
Biological Optimization CriteriaObjective
function example (iii)
  • The objective function includes combinations of
    the Logistic function and the gEUD function for
    both target and OARs
  • Target sub-function includes the gEUD
    prescription dose and a relative importance
    factor
  • OAR sub-functions include the gEUD limit dose and
    relative importance factors
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