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Proceedings Paper

Automated extraction of pelvic features in portal and simulation images
Author(s): Fang-Fang Yin; Kaiwen Nie; Lulin Chen; Chang Wen Chen
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Paper Abstract

A new approach, a pyramid template matching as guided by a snake, is developed for the extraction of pelvic features in both portal and simulation images. Initially, the treatment field edge was extracted using a Canny edge detector. A template modeled using a polynomial function for the typical pelvic structures was used as the initial approximation for the anteroposterior (AP) pelvic brim. Several energies were defined to search the actual bony structures as guided by the snake in a larger range. In this study, a double-snake model coupled with a spring was developed to define the external constraint force. The image force was calculated from various processed images using different edge detection algorithms. The criterion used for search termination was to find the locations where the overall energy was at its minimum. The result of the initial search was fit using a polynomial function as the second approximation for the pelvic bony structure. Snake searching technique was repeated in a smaller range around the initial identified features for fine search of pelvic bony structure. This technique has shown to be very promising for extracting pelvic features.

Paper Details

Date Published: 16 April 1996
PDF: 4 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237910
Show Author Affiliations
Fang-Fang Yin, Univ. of Rochester (United States)
Kaiwen Nie, Univ. of Rochester (United States)
Lulin Chen, Univ. of Rochester (United States)
Chang Wen Chen, Univ. of Rochester (United States)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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