title: On the accuracy and effectiveness of dose reconstruction for tomotherapy.
abstract: Dose reconstruction is a process that re-creates the treatment-time dose deposited in a patient provided there is knowledge of the delivered energy fluence and the patient's anatomy at the time of treatment. A method for reconstructing dose is presented. The process starts with delivery verification, in which the incident energy fluence from a treatment is computed using the exit detector signal and a transfer matrix to convert the detector signal to energy fluence. With the verified energy fluence and a CT image of the patient in the treatment position, the treatment-time dose distribution is computed using any model-based algorithm such as convolution/superposition or Monte Carlo. The accuracy of dose reconstruction and the ability of the process to reveal delivery errors are presented. Regarding accuracy, a reconstructed dose distribution was compared with a measured film distribution for a simulated breast treatment carried out on a thorax phantom. It was found that the reconstructed dose distribution agreed well with the dose distribution measured using film: the majority of the voxels were within the low and high dose-gradient tolerances of 3% and 3 mm respectively. Concerning delivery errors, it was found that errors associated with the accelerator, the multileaf collimator and patient positioning might be detected in the verified energy fluence and are readily apparent in the reconstructed dose. For the cases in which errors appear in the reconstructed dose, the possibility for adaptive radiotherapy is discussed.
authors.affiliation: University of Wisconsin-Madison, 53706, USA.
authors.forename: J M
authors.initials: JM
authors.lastname: Kapatoes
authors.forename: G H
authors.initials: GH
authors.lastname: Olivera
authors.forename: J P
authors.initials: JP
authors.lastname: Balog
authors.forename: H
authors.initials: H
authors.lastname: Keller
authors.forename: P J
authors.initials: PJ
authors.lastname: Reckwerdt
authors.forename: T R
authors.initials: TR
authors.lastname: Mackie
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000532:radiotherapy; D006801:Humans; D009010:Monte Carlo Method; D019047:Phantoms, Imaging; D011874:Radiometry / Q000379:methods*; D015203:Reproducibility of Results; D013909:Thorax / Q000528:radiation effects; D013997:Time Factors; D014057:Tomography, X-Ray Computed / Q000379:methods*