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Abstract
V.A. Nievaart, D. Legrady, R.L. Moss, J.L. Kloosterman, T.H.J.J. van der Hagen and H. van Dam,
Application of adjoint Monte Carlo to accelerate simulations of mono-directional
beams in radiotherapy treatment planning for Boron Neutron Capture,
Medical Physics, 34(4):1321-1335, 2007.
This paper deals with the application of the adjoint transport theory in order to optimize Monte Carlo based
radiotherapy treatment planning. The technique is applied to Boron Neutron Capture Therapy where most often
mixed beams of neutrons and gammas are involved. In normal forward Monte Carlo simulations the particles start
at a source and lose energy as they travel towards the region of interest, i.e. the designated point of detection.
Conversely, with adjoint Monte Carlo simulations, the so-called adjoint particles start at the region of interest
and gain energy as they travel towards the source where they are detected. In this respect, the particles travel
backwards and the real source and real detector become the adjoint detector and adjoint source, respectively.
At the adjoint detector, an adjoint function is obtained with which numerically the same result, e.g. dose or
flux in the tumor, can be derived as with forward Monte Carlo. In many cases, the adjoint method is more
efficient and by that is much quicker when, for example, the response in the tumor or organ at risk for many
locations and orientations of the treatment beam around the patient is required. However, a problem occurs
when the treatment beam is mono-directional as the probability of detecting adjoint Monte Carlo particles
traversing the beam exit (detector plane in adjoint mode) in the negative direction of the incident beam is
zero. This problem is addressed here and solved first with the use of next event estimators and second with
the application of a Legendre expansion technique of the angular adjoint function. In the first approach,
adjoint particles are tracked deterministically through a tube to a (adjoint) point detector far away from
the geometric model. The adjoint particles will traverse the disk shaped entrance of this tube (the beam
exit in the actual geometry) perpendicularly. This method is slow whenever many events are involved that
are not contributing to the point detector, e.g. neutrons in a scattering medium. In the second approach,
adjoint particles that traverse an adjoint shaped detector plane are used to estimate the Legendre
coefficients for expansion of the angular adjoint function. This provides an estimate of the adjoint
function for the direction normal to the detector plane. In a realistic head model, as described in
this paper, which is surrounded by 1020 mono-directional neutron/gamma beams and from which the best
ones are to be selected, the example calculates the neutron and gamma fluxes in 10 tumors and 10 organs
at risk. For small diameter beams (5 cm), and with comparable relative errors, forward Monte Carlo is
seen to be 1.5 times faster than the adjoint Monte Carlo techniques. For larger diameter neutron beams
(10 cm and 15 cm), the Legendre technique is found to be 6 and 20 times faster, respectively. In the
case of gammas alone, for the 10 cm and 15 cm diameter beams, both adjoint Monte Carlo Legendre and
point detector techniques are respectively 2 and 3 times faster than forward Monte Carlo.
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