2003
DOI: 10.1118/1.1592018
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A new algorithm for the registration of portal images to planning images in the verification of radiotherapy, as validated in prostate treatments

Abstract: The manual verification of a radiotherapy treatment, where a portal image is matched onto a planning image, is very time consuming and subject to inter- and intraobserver variability. Therefore, a fully automatic matching procedure (image registration) is required. Existing automatic matching algorithms are confounded, however, by irrelevant information in the portal images (i.e., air in the intestines). Therefore, we have developed a new method, which is an extension of chamfer matching and uses, apart from t… Show more

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Cited by 13 publications
(9 citation statements)
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“…Research into known, documented uncertainties in soft tissue and organ motions in prostate, head and neck, and lung is well developed and directly impact ART approaches. Furthermore, registration methods that combine information and realize deformable mapping between structural and functional images are essential to make individualized IGART rapid and feasible …”
Section: Image Registrationsupporting
confidence: 88%
“…Research into known, documented uncertainties in soft tissue and organ motions in prostate, head and neck, and lung is well developed and directly impact ART approaches. Furthermore, registration methods that combine information and realize deformable mapping between structural and functional images are essential to make individualized IGART rapid and feasible …”
Section: Image Registrationsupporting
confidence: 88%
“…As a surface matching technique, Chamfer matching is statistically similar to correlation; however, it is simplified to improve computational speed. [9][10][11][12] In Chamfer matching, the corresponding region in each image is segmented (either automatically, often using thresholding techniques, or manually). The segmentation is then simplified into an image with 0 and 1 values indicating the edge of the segmented region.…”
Section: B1 Geometry or Feature-based Metricsmentioning
confidence: 99%
“…A number of semiautomated 1-4 and fully automated [5][6][7][8][9][10][11][12][13][14] 2D-2D registration methods have been developed for the determination of setup errors in prostate radiotherapy. A limitation of 2D-2D registration methods is that they are typically unable to accurately estimate all six transformation parameters, especially in the presence of out-of-plane displacements.…”
Section: Introductionmentioning
confidence: 99%