Article
An evaluation of two methods of anatomical alignment of radiotherapy portal images.
Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110.
International Journal of Radiation OncologyBiologyPhysics (impact factor:
4.11).
01/1994;
27(5):1199-206.
pp.1199-206
Source: PubMed
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Citations (0)
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Article: Patient setup error measurement using 3D intensity-based image registration techniques.
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ABSTRACT: Conformal radiotherapy requires accurate patient positioning with reference to the initial three-dimensional (3D) CT image. Patient setup is controlled by comparison with portal images acquired immediately before patient treatment. Several automatic methods have been proposed, generally based on segmentation procedures. However, portal images are of very low contrast, leading to segmentation inaccuracies. In this study, we propose an intensity-based (with no segmentation), fully automatic, 3D method, associating two portal images and a 3D CT scan to estimate patient setup. Images of an anthropomorphic phantom were used. A CT scan of the pelvic area was first acquired, then the phantom was installed in seven positions. The process is a 3D optimization of a similarity measure in the space of rigid transformations. To avoid time-consuming digitally reconstructed radiograph generation at each iteration, we used two-dimensional transformations and two sets of specific and pregenerated digitally reconstructed radiographs. We also propose a technique for computing intensity-based similarity measures between several couples of images. A correlation coefficient, chi-square, mutual information, and correlation ratio were used. The best results were obtained with the correlation ratio. The median root mean square error was 2.0 mm for the seven positions tested and was, respectively, 3.6, 4.4, and 5.1 for correlation coefficient, chi-square, and mutual information. Full 3D analysis of setup errors is feasible without any segmentation step. It is fast and accurate and could therefore be used before each treatment session. The method presents three main advantages for clinical implementation-it is fully automatic, applicable to all tumor sites, and requires no additional device.International Journal of Radiation OncologyBiologyPhysics 06/2003; 56(1):259-65. · 4.11 Impact Factor
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Keywords
alignment error
anatomical features
anatomical features secondary
anatomical fiducial points
anatomical site
clinical situations intrauser variation
corresponding portal image
fiducial point
horizontal axis
multiple interuser variation
non rigidity
plane rotation
plane rotations
point method
poor image quality
portal image
rotational alignment parameters
subjective anatomical fit
template method
translational shifts range