A population-based model to describe geometrical uncertainties in radiotherapy: applied to prostate cases.
Local motions and deformations of organs between treatment fractions introduce geometrical uncertainties into radiotherapy. These uncertainties are generally taken into account in the treatment planning by enlarging the radiation target by a margin around the clinical target volume. However, a practical method to fully include these uncertainties is still lacking. This paper proposes a model based on the principal component analysis to describe the patient-specific local probability distributions of voxel motions so that the average values and variances of the dose distribution can be calculated and fully used later in inverse treatment planning. As usually only a very limited number of data for new patients is available; in this paper the analysis is extended to use population data. A basic assumption (which is justified retrospectively in this paper) is that general movements and deformations of a specific organ are similar despite variations in the shapes of the organ over the population. A proof of principle of the method for deformations of the prostate and the seminal vesicles is presented.
Delft Institute of Applied Mathematics (DIAM), Technische Universiteit Delft, Delft, The Netherlands. e.budiarto@tudelft.nl
E
E
Budiarto
M
M
Keijzer
P R
PR
Storchi
M S
MS
Hoogeman
L
L
Bondar
T F
TF
Mutanga
H C J
HC
de Boer
A W
AW
Heemink
D006801:Humans; D008297:Male; D008954:Models, Biological; D009068:Movement; D025341:Principal Component Analysis; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging / Q000503:physiopathology / Q000532:radiotherapy*; D011881:Radiotherapy, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D014057:Tomography, X-Ray Computed; D035501:Uncertainty