TU-Delft
  Jan Leen Kloosterman
Research for Safe and Sustainable Nuclear Energy
 
Reactor core HOR
 
Home
Papers
Reports
CV
Links
Mission
Contact
 
Informatie:
Lezingen
Nieuwe Kernenergie
Nieuwe Kerncentrales
Moderne Kerncentrales
Kernsplijtingsafval
Snelle Reactoren
Waterstofproductie
Veiligheid kernenergie mp3
Onderzoek TU-Delft
Onderwijs TU-Delft pdf

Information:
Nuclear Hydrogen
Nuclear Reactors
Nuclear Waste
Sustainable Nuclear
To Recycle or Not
HTR Design Criteria
Molten Salt Reactors
World list NPPs

Education:
DELPHI
Teaching
Training
Theses
© J.L. Kloosterman

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.



For more information, please contact j.l.kloosterman@tudelft.nl.

Home