TRiP98 optimize command
optimize / iterations() graceiterations(1) H2Obased CTbased events() debug
bio singly eps(1E-3) geps(2E-3) myfac(0.5)
phys matchonly doseweightfactor()
Handles optimization of dose with respect to particle numbers.
Maximum number of iterations. Remembered.
Startup default is 5.
Number of initial "grace" iterations
for which tests on relative change of chi-square
Startup default is 1.
Optimize using biological dose. Remembered.
Optimize using physical dose. Remembered.
H2Obased selects separate optimization
of single fields, with fast, but less accurate algorithms,
based on a H2O-equivalent grid. This is the default.
CTbased selects optimization based on the
CT grid. Mandatory for simultaneous optimization of
Separate optimization of multiple fields.
Not yet implemented.
Skips H2Obased pre-optimization
so CTbased is invoked with zero particle number
as startup value. Use it with care.
Optimize using only a simple peak-to-dose matching algorithm.
Otherwise a conjugate gradient method is used to equilibrate
peaks and valleys. This applies to
H2Obased optimizations only.
for dose calculation.
Same choices as for
dose cube calculation:
for biological effect calculation.
Note, however, that the default choice is valid only for doses
up to some 10GyE, but is considerably faster.
for dose optimization.
The selection is affects
optimizations, as of version 1001d H2Obased too. Choices are
As it turns out, "Fletcher-Reeves" is usually the fastest converging one.
cg (conjugate gradients)
gr (plain gradients)
bf (Bortfeld's algorithm)
fr (Fletcher-Reeves algorithm, default)
Not yet implemented.
Minimum relative change of chi-square.
If the actual change is below, the iteration is aborted.
Startup default is 1E-3.
Controls relative contribution of raster points to dose voxels.
Contributions less than
geps are omitted,
thereby reducing memory and time consumption.
Should not be raised above some 1E-3, otherwise optimized
and real dose distributions will differ.
Startup default is 2E-3.
Controls search stepsize for gradient based
optimization algorithms for the RBE-weighted (biological) dose.
The default value is 0.5, designed for total biological target doses about 3GyE.
For lower doses (0.5..1GyE) or high RBE, lower values of
might be appropriate.
There is some builtin stepsize "autopilot", but if the results aren't
satisfactory, one might manually choose lower values, e.g.
down to 0.1 to 0.25.
As of version 1001D, this parameter applies for
H2Obased optimizations as well.
The prescribed dose is multiplied with this factor to introduce sort of
an "experimental uncertainty", which enters as a weight in the chi-square
Startup default is 2.5E-2, corresponding to half of the
deviation between measured and calculated absorbed dose allowed by authorities.
List of field id's to be optimized.
Debug switch. Lots of output!
opt / field(*) bio
Optimize all defined fields using the biologically effective dose.
Fields are optimized separately with "classic" algorithms
opt / field(*) ctbased bio dosealg(ap) optalg(fr) bioalg(ld) geps(2E-3) eps(1e-2) iter(500)
Optimize all defined fields simultaneously (IMRT-style),
with "fast" biological calculations and the Fletcher-Reeves algorithm.
$Id: trip98cmdopt.html,v 1.9 2011/07/09 07:42:57 kraemer Exp $
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