Highlights
- •We evaluate the accuracy of the RayStation TPS hybrid DIR algorithm in distances.
- •We validate the use of inverse consistence (IC) property.
- •We use IC property for studying the implication of the distances on the dose.
- •We show the differences in DVH due accuracy of hybrid DIR algorithm.
Abstract
In recent years one of the areas of interest in radiotherapy has been adaptive radiation
therapy (ART), with the most efficient way of performing ART being the use of deformable
image registration (DIR). In this paper we use the distances between points of interest
(POIs) in the computed tomography (CT) and the cone beam computed tomography (CBCT)
acquisition images and the inverse consistence (IC) property to validate the RayStation
treatment planning system (TPS) DIR algorithm. This study was divided into two parts:
Firstly the distance-accuracy of the TPS DIR algorithm was ascertained by placing
POIs on anatomical features in the CT and CBCT images from five head and neck cancer
patients. Secondly, a method was developed for studying the implication of these distances
on the dose by using the IC. This method compared the dose received by the structures
in the CT, and the structures that were quadruply-deformed. The accuracy of the TPS
was 1.7 ± 0.8 mm, and the distance obtained with the quadruply-deformed IC method
was 1.7 ± 0.9 mm, i.e. the difference between the IC method multiplied by two, and
that of the TPS validation method, was negligible. Moreover, the IC method shows very
little variation in the dose-volume histograms when comparing the original and quadruply-deformed
structures. This indicates that this algorithm is useful for planning adaptive radiation
treatments using CBCT in head and neck cancer patients, although these variations
must be taken into account when making a clinical decision to adapt a treatment plan.
Keywords
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Article info
Publication history
Published online: February 05, 2015
Accepted:
January 16,
2015
Received in revised form:
January 14,
2015
Received:
July 29,
2014
Identification
Copyright
© 2015 Associazione Italiana di Fisica Medica. Published by Elsevier Inc. All rights reserved.
