High precision dosimetry techniques have been developed and build on dosimetric methods used in total skin electron radiotherapy [1,2] and in vitro radio-carcinogenesis studies [3] and generalised for radiotherapy treatment planning [4].
These techniques are based on the Monte Carlo (MC) method but incorporate new Bayesian methods of source characterisation, in particular, Markov chain Monte Carlo (McMC) [5,6,7] which enables measured, posterior, data to be combined with prior information about source.
McMC is a variation on the inverse Monte Carlo method [8,9,10] that enables the utilisation of information available from measurement to achieve increased accuracy in the computation of dosimetric parameters such as mass-collision stopping powers, field size and angular dependence of dose in vivo.