title: A Monte Carlo based three-dimensional dose reconstruction method derived from portal dose images.
abstract: The verification of intensity-modulated radiation therapy (IMRT) is necessary for adequate quality control of the treatment. Pretreatment verification may trace the possible differences between the planned dose and the actual dose delivered to the patient. To estimate the impact of differences between planned and delivered photon beams, a three-dimensional (3-D) dose verification method has been developed that reconstructs the dose inside a phantom. The pretreatment procedure is based on portal dose images measured with an electronic portal imaging device (EPID) of the separate beams, without the phantom in the beam and a 3-D dose calculation engine based on the Monte Carlo calculation. Measured gray scale portal images are converted into portal dose images. From these images the lateral scattered dose in the EPID is subtracted and the image is converted into energy fluence. Subsequently, a phase-space distribution is sampled from the energy fluence and a 3-D dose calculation in a phantom is started based on a Monte Carlo dose engine. The reconstruction model is compared to film and ionization chamber measurements for various field sizes. The reconstruction algorithm is also tested for an IMRT plan using 10 MV photons delivered to a phantom and measured using films at several depths in the phantom. Depth dose curves for both 6 and 10 MV photons are reconstructed with a maximum error generally smaller than 1% at depths larger than the buildup region, and smaller than 2% for the off-axis profiles, excluding the penumbra region. The absolute dose values are reconstructed to within 1.5% for square field sizes ranging from 5 to 20 cm width. For the IMRT plan, the dose was reconstructed and compared to the dose distribution with film using the gamma evaluation, with a 3% and 3 mm criterion. 99% of the pixels inside the irradiated field had a gamma value smaller than one. The absolute dose at the isocenter agreed to within 1% with the dose measured with an ionization chamber. It can be concluded that our new dose reconstruction algorithm is able to reconstruct the 3-D dose distribution in phantoms with a high accuracy. This result is obtained by combining portal dose images measured prior to treatment with an accurate dose calculation engine.
authors.affiliation: Department of Radiation Oncology (MAASTRO), GROW U.H. Maastricht, Maastricht, The Netherlands. wouter.vanelmpt@maastro.nl
authors.forename: Wouter J C
authors.initials: WJ
authors.lastname: van Elmpt
authors.forename: Sebastiaan M J J G
authors.initials: SM
authors.lastname: Nijsten
authors.forename: Robert F H
authors.initials: RF
authors.lastname: Schiffeleers
authors.forename: André L A J
authors.initials: AL
authors.lastname: Dekker
authors.forename: Ben J
authors.initials: BJ
authors.lastname: Mijnheer
authors.forename: Philippe
authors.initials: P
authors.lastname: Lambin
authors.forename: André W H
authors.initials: AW
authors.lastname: Minken
mesh_terms: D000465:Algorithms; D005373:Film Dosimetry; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional / Q000379:methods*; D015233:Models, Statistical; D009010:Monte Carlo Method; D010315:Particle Accelerators; D019047:Phantoms, Imaging; D011874:Radiometry; D011879:Radiotherapy Dosage; D011881:Radiotherapy, Computer-Assisted; D050397:Radiotherapy, Intensity-Modulated / Q000379:methods*