DocumentCode :
2531988
Title :
Deformable multi template matching with application to portal images
Author :
Berger, Martin ; Danuser, Gaudenz
Author_Institution :
Commun. Technol. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland
fYear :
1997
fDate :
17-19 Jun 1997
Firstpage :
374
Lastpage :
379
Abstract :
The exact positioning of patients during radiotherapy is essential for high precision treatment. The registration of portal image sequences can help to control the patient position. The particular problem of such megavoltage X-ray imagery is its extremely low contrast, rendering accurate feature extraction a difficult task. To circumvent the step of feature extraction, the algorithm presented in this paper relies on an area-based matching of the image signal using deformable templates. This strategy contrasts with most state of the art registration algorithms for portal imagery. The paper includes the mathematical formalism of the least squares template matching method, as well as the framework for automated quality control, together yielding a fast, robust and very accurate image matching procedure. Tests on 17 portal image series with more than 100 images in total have shown very satisfying results. Artificially rotated and shifted images demonstrate the performance of the method with respect to a ground truth
Keywords :
feature extraction; image matching; image sequences; medical image processing; radiation therapy; area-based matching; automated quality control; deformable multi template matching; feature extraction; image matching; mathematical formalism; megavoltage X-ray imagery; portal images; radiotherapy; registration algorithms; Feature extraction; Image matching; Image sequences; Least squares methods; Medical treatment; Portals; Quality control; Rendering (computer graphics); Robust control; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location :
San Juan
ISSN :
1063-6919
Print_ISBN :
0-8186-7822-4
Type :
conf
DOI :
10.1109/CVPR.1997.609352
Filename :
609352
Link To Document :
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