A new algorithm for the registration of portal images to planning images in the verification of radiotherapy, as validated in prostate treatments

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 algori...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Medical physics (Lancaster) Ročník 30; číslo 9; s. 2274 - 2281
Hlavní autoři: Jobse, Mark, Davelaar, Jaap, Hendriks, Emile, Kattevilder, Rob, Reiber, Hans, Stoel, Berend
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States American Association of Physicists in Medicine 01.09.2003
Témata:
algorithm theory
Algorithms
cancer
diagnostic radiography
Gastrointestinal imaging
Humans
Image analysis
image registration
Male
medical image processing
Medical imaging
Physicists
Prostatic Neoplasms - diagnostic imaging
Prostatic Neoplasms - radiotherapy
radiation therapy
Radiographic Image Enhancement - methods
Radiographic Image Interpretation, Computer-Assisted - methods
Radiotherapy Planning, Computer-Assisted - methods
Radiotherapy, Computer-Assisted - methods
Reproducibility of Results
Sensitivity and Specificity
Subtraction Technique
Therapeutics
Treatment strategy
Verification
ISSN:0094-2405, 2473-4209
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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 the distance to the nearest edge, additional information on the correspondence of the gradient angle and magnitude of the edges, making the method less sensitive to confounding information in the images. To validate the automatic matching procedure in clinical practice, we applied the new method on 157 images of 29 randomly selected patients treated for carcinoma of the prostate. Three experts manually matched these images in consensus. Subsequently, the same observers assessed the results of the automatic registration. When regular chamfer matching is used for the fully automatic matching procedure, only 5% of the image pairs could be matched correctly, whereas the new method successfully registered 80% by using additional information on the angle of the edges. From the results of the validation study it can be concluded that a significant reduction in workload for the physicians and technicians can be achieved with this method.
Bibliografie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Undefined-3
ISSN:0094-2405
2473-4209
DOI:10.1118/1.1592018